Cemil

Türkiye 2014-2016 Hayat Tablolarında Doğrusal-olmayan Büyüme Fonksiyonları Uygulaması

Muhammad

Assist. Prof.

Tariq

Charagh

Does Women Well-being Matter for Demand and Development of Children?

Salah Eddine

Mohammed

Mohammed Seghir

Examining the Connection amongst Renewable Energy, Economic Growth and Carbon Dioxide Emissions in Algeria

İlknur

Öğretim Görevlisi

Arif

Insurance is a system for which the primary objective is to provide trust in the society. This system gathers a large number of people who are exposed to the same risk in society. Insurance is a risk management tool. These risk transfer operations are carried out by policies. The parties of a policy are insured, insurer and insurant. Insurance companies, as insurers, receive a certain amount of premium from the insured in return for the risks that they have taken over. The number of insurance companies is higher than the number of the insured. Although there are not many insurance companies, the total amount of premium collected from insured people is quite high. A certain portion of the premiums obtained regularly are utilized by the companies directing them to the financial system. This is what makes the position of insurance companies important within the financial system. Insurance companies play a key role for developing economies. Therefore, it is important that these means are used efficiently. Main purpose and function of insurance is to provide trust in society while it is not its only function. Providing trust is just one of many functions of the insurance business. Insurance should not be considered as a simple system in which insurance companies use the premiums they collected to compensate the insured when risk occurs. However, it is a fact that premiums collected by insurance companies are their only source of income. They make good use of these premiums in the financial system to increase their effectiveness evaluating the financial system. Although companies have high effects on the financial system, their efficiency is important due to being few in number. According to 2018 data obtained by the Insurance Association of Turkey, there are 39 companies specialised in non-life insurance, 23 companies specialised in life and pensions and 2 reinsurance insurance company in our country. Companies can measure their efficiency and learn their position in the competitive environment. Data Envelopment Analysis is a non-parametric method. In other words, it does not make an estimate of the universe for a small sample. Data envelopment analysis can be performed in an input- and output-oriented way. The method to meet the need is decided in accordance with the purpose of study. If a particular output level is to be measured, an input-oriented efficiency measurement is performed. In the input-oriented analysis, amount of output is kept fixed to calculate how much amount of input can be changed. In the output-oriented analysis, how much amount of output can be changed for a certain input. Companies can be provided with recommendations by calculating how much the insurance companies need to change their inputs and outputs in percentage at the end of the efficiency. Yet, different results can be achieved with other criteria as a respective analysis is performed with this method. Given the data of T.R. Undersecretariat of Treasury, the number of policies and amount of premiums in non-life insurance is higher than the data of life insurance or pension. Hence, this study analyses the efficiencies of non-life insurance companies in Turkey.&nbsp;According to the literature in our country and in our world, data envelopment analysis is utilized in the studies examining the efficiencies of the insurance sector. The data were analysed with the additive model method of the data envelopment analysis method in the first place. The achieved results are aimed at making changes in outputs. In accordance, an output-oriented data envelopment analysis was decided. It is also observed in the literature that data analysis analysis is performed rather as output-oriented. The efficiencies of non-life insurance companies in Turkey will be examined using the data envelopment analysis. The data from years 2011-2015 will be utilized. The data to be used are obtained from the Activity Reports of Insurance and Individual Pension published by T.R. Undersecretariat of Treasury. The analysis were performed on the Win4DEAP software of which foundations was laid by Tim Coelli. The aim was to present a source for those who want to be informed of non-life insurance companies’ efficiencies in Turkey and will contribute to the literature with the findings achieved in the analysis.&nbsp;

Türk Sigortacılık Sektöründe Hayat Dışı Sigorta Şirketlerinin Etkinlik Analizi

Hasan Hüseyin

Bahadır

Since the liberalization of the financial markets in 1989, globalization and capital flows have been discussed widespread in Turkey but not as much as the period starting from 2008 to 2014 that Federal Reserve implemented one of the most expansionary monetary policies throughout the history. One of the most significant problems that affect production and investment for developing countries such as Turkey is the insufficiency of the financial funds and capital. Therefore, foreign direct investments are more favorable then the short-term capital flows. However, portfolio outflows have significant effects on the emerging markets especially for the ones that could not achieve the stability in financial markets. Financial crises in Turkey after 1989 can be listed as the perfect examples of this phenomenon. Countries that run high current account deficits are exposed to the risk of the loss of human capital, deterioration in credit channel which negatively affects production when the capital outflow takes place and finally this cycle ends up with a severe economic crisis (Calvo, 1998:40-42; Alper and Sağlam, 2001; BlaszkiewiczSchwartzman and Öz, 2012; Çulha, 2006). Financial crises in 1994 and 2001 in Turkey, 1997 crisis in Asia, 1998 crisis in Russia are some of the examples of how destructive can capital outflows be on domestic economies (Calvo, Leiderman and Reinhart, 1996; Hoggarth and Sterne, 1997; Lopez-Mejia, 1999; Fernandez-Arias and Montiel, 1996; Alper and Saglam, 2001). Thus, factors that cause portfolio inflows and outflows should be investigated to minimize the possible contradictory effects of short-term capital flows on domestic economies. Factors affecting the short-term capital flows, in other words portfolio flows, need to be investigated from a financial point of view. Arbitragers’ main aim is to get the highest profit from the investment opportunities that have similar risk levels. Thus, availability of the investors and funds is the demand side of this equation while the supply side consists of local authorities, governments or anyone else who needs those financial funds. Literature about capital flows also have a similar type of differentiation while grouping the factors that influence capital flows. In some articles, factors are grouped as external and domestic (Hoggarth and Sterne, 1997; Hernandez, Mellado and Valdes, 2001; Lopez-Mejia, 1999) while in other articles, those factors are listed as push instead of external and pull instead of internal factors (Arbatli, 2011; Dasgupta and Ratha, 2000; Hernandez, Mellado and Valdes, 2001; Fernandez-Arias, 1996; Chuhan, Claessens and Mamingi, 1993; Fratzscher, 2011). Likewise, articles can also be classified under two groups in terms of the dominant factors on capital flows. According to some studies, external factors are dominant on portfolio flows (Calvo, Leiderman and Reinhart, 1996; Fernandez-Arias, 1996; Lopez-Mejia, 1999; Korap, 2010) while others claim that domestic factors are more dominant than external&nbsp;factors (Schadler et. al., 1993; Dasgupta and Ratha, 2000; Çulha, 2006; Hernandez et. al. 2001; Mody et. al., 2001). However, uncovered interest differentials were regarded as one of the main causes of the portfolio flows to Turkey in many studies (Celasun et.al. 1999:11-12; Agénor et. al. 1997:14). Turkey kept budget deficit under control with the help of privatization of the unprofitable state-owned enterprises while applying tight fiscal policies in addition to switching to floating exchange rate regime after 2001 crisis. In 2005-2014 period, global factors were also supportive due to the expansionary monetary policies of Federal Reserve to support the mortgage sector and keep interest rates relatively stable which in return led to one of biggest financial crises of the history and continuation of monetary expansion to a greater extent. Thus, dominance of the external factors on domestic factors is relatively small in this specific period. Data sources of this paper are listed as Central Bank of Turkey-CBRT, Bloomberg Terminal Platform and Federal Reserve Economic Data-FRED. Uncovered interest parity model is the main focus of this paper and according to the results of the VAR analysis, dominant factor is unsurprisingly CDS premiums which is the most important economic variable for the risk-free profit seeking arbitragers. Following the country risk level, exchange rate level appears to be more dominant on portfolio flows rather than the interest rate level. Reasons behind the fact that exchange rate level is more influential on capital flows than interest rate level can be listed as; consecutive current account deficits and therefore decreasing saving rates. Decreasing saving rates and consecutive current account deficits doubtlessly decrease the amount of foreign currency in domestic economy especially on payment dates and increase the dependency on portfolio flows for the developing countries to achieve the funds needed for high growth rates. Moreover, decrease in domestic demand and tight fiscal policies of public authority after 2001 crisis caused the inflation rates and therefore interest rates to decrease on the one hand. On the other hand, decline in interest rates with the help of the increased global liquidity led to high GDP growth rates and more importantly rebound of the domestic demand to a greater extent.

Korumasız Faiz Parite Kuramı ve 2005-2014 Dönemi Portföy Yatırımlarını Türkiye’ye Çeken Finansal Faktörlerin Tespit

Nilgün

Prof.

Murat

Assist. Prof. Dr.

Yasemin

Alternative Strategies to Hedge Longevity Risk in Defined  Contribution Pension Plans for Loss-Averse Individuals

Müge

Serpil

Prof. Dr.

Gamma Regression for the Poverty Rate in Türkiye

Çiğdem

Res. Assist.

Uğur

Assoc. Prof.

This study explores the impact of mortality rates and premium margins on the financial performance of insurance contracts within the framework of IFRS 17. The primary objective is to examine how these two critical factors—mortality rates and premium margins—affect financial outcomes, risk management strategies, and the reporting practices of insurance companies. IFRS 17 introduces significant changes to the accounting and reporting standards for insurance contracts, emphasising a forward-looking approach to financial reporting. The study aims to provide valuable insights into how insurance companies can adapt to these new requirements while ensuring accurate financial reporting and sustainable profitability. IFRS 17 represents a substantial shift in how insurance liabilities are recognised and reported, requiring the assessment of future cash flows, adjustments for non-financial risks, and the calculation of the contractual service margin (CSM), which reflects unearned profits to be recognised over the coverage period. Understanding the influence of mortality rates and premium margins within this framework is crucial for insurance companies to maintain financial stability and compliance with IFRS 17’s stringent requirements. To investigate these dynamics, the study utilises the Lee-Carter mortality model, a well-established statistical method for forecasting mortality rates. The Lee-Carter model is widely recognised for its accuracy in capturing long-term mortality trends, making it an appropriate tool for projecting the future obligations of life insurance contracts. This model operates by decomposing historical mortality data into time and age components, allowing for the estimation of future mortality rates based on observed trends. The study applies the Lee-Carter model to a dataset from eight countries with diverse demographic profiles, including both developed and developing economies. The chosen countries represent a broad spectrum of mortality trends, which are crucial for understanding the varying impacts on financial performance under IFRS 17. The analysis covers a 20-year period, offering a long-term perspective on the interaction between mortality trends and premium margins under the IFRS 17 framework. The data used in this study include historical mortality rates from the selected countries. This study employs a combination of time-series analysis and simulation techniques to project future cash flows for life insurance contracts. Specifically, the Lee-Carter model is applied to generate mortality forecasts, which are then used to simulate the cash flows of life insurance contracts over the 20-year period. These simulations allow the researchers to estimate the financial performance of the contracts under various scenarios, identifying the key drivers of profitability and financial stability. Additionally, the study used the Kruskal-Wallis and Mann–Whitney tests to examine whether changes in mortality rates and premium margins have a statistically significant impact on the financial outcomes of insurance contracts. The findings of the study reveal that mortality rates significantly influence the financial performance of insurance contracts. Countries with declining mortality rates tend to have lower future claim obligations, positively affecting profitability. In contrast, countries with increasing mortality rates face higher claim obligations, which can negatively impact financial outcomes. Premium margins are also found to be crucial in determining the timing and recognition of profits under IFRS 17. Higher premium margins result in a larger CSM, allowing for smoother profit recognition over time, while lower premium margins may lead to more volatile financial results, particularly when large claims occur. The study’s use of sensitivity analysis further highlights the importance of accurately forecasting mortality rates and managing premium margins, as small changes in these variables can lead to significant differences in financial outcomes.In conclusion, this study provides important insights into the relationship between mortality rates, premium margins, and the financial performance of insurance contracts under IFRS 17. By employing advanced statistical methods such as the Lee-Carter mortality model and sensitivity analysis, the research underscores the necessity for insurance companies to carefully assess and manage these variables to ensure accurate financial reporting and sustainable profitability. Understanding the impact of mortality trends and premium margins allows insurance companies to better navigate the challenges posed by IFRS 17, enhancing their financial stability and compliance with the new accounting standards.

The Impact of Mortality and Premium Margin on the Financial Performance of the  Insurance Contract: IFRS 17 Framework

Serdar

A Hybrid Decision-Making Method based on Interval-Valued  Fermatean Fuzzy Sets and a Green Supplier Chain Management  Application

Esra

Assoc. Prof. Dr.

BRICS-T countries, which stand out in global energy markets both in terms of supply and demand, hold a significant position in the energy sector. The energy policies of these countries, which play a critical role in the global energy balance, are aligned with sustainability goals in areas such as energy security, energy supply, energy prices, and the use of renewable energy. In this context, the primary motivation of this study has been to econometrically analyse the renewable energy consumption of the BRICS-T countries, with the aim of increasing the share of renewable energy use in total energy consumption. This study aims to identify the factors affecting renewable energy use, or in other words, consumption, in BRICS T countries using a panel data approach, with particular attention to structural breaks. For this purpose, the study uses data from BRICS-T countries for the period 1990-2020, with renewable energy consumption as the dependent variable and economic growth, carbon dioxide emissions, and foreign direct investment inflows as the independent variables. The dataset was obtained from the World Development Indicators published by the World Bank. To use the correct testing and estimation methods, the characteristics of the panel data model were initially tested using various tests found in the literature. The results revealed that the panel data structure is a heterogeneous panel data model with inter-unit correlation. Since the time dimension of the heterogeneous panel data model considered in the study is not long enough, which would cause a loss of degrees of freedom in multiple structural breaks, structural breaks in only a single number of constants are determined heterogeneously for each BRICS-T country. For the identified structural break dates, a dummy variable approach was used and the model estimation was performed with the Seemingly Unrelated Regression with Structural Breaks (SUR) Model proposed by Guliyev (2023). The structural break dates were found to be statistically significant at the 0.05 significance level in all countries except Russia. Accordingly, structural breaks were identified in 2015 for Brazil, 2012 for India, 1998 for China, 2001 for South Africa and 2000 for Turkey. According to the SUR estimation results, which account for structural breaks, all the individual regression equations are statistically significant at the 0.01 significance level. The coefficient of determination (R²) values calculated for the individual regression equations are 0.89 for Brazil, 0.58 for Russia, 0.99 for India, 0.99 for China, 0.98 for South Africa, and 0.97 for Turkey. Accordingly, with the inclusion of structural breaks, it is observed that the independent variables considered in the model—economic growth, carbon dioxide emissions, and foreign direct investment inflows—highly explain the changes in renewable energy consumption in all countries except Russia. When examining the model coefficients, it is observed that an increase in economic growth positively affects the renewable energy consumption of Brazil, India, China, and Turkey, while negatively affecting that of Russia and South Africa. Moreover, an increase in carbon dioxide emissions positively affects Russia’s renewable energy consumption but negatively impacts Brazil, India, China, and Turkey. Lastly, the increase in foreign direct investment inflows positively affects the renewable energy consumption of Brazil and South Africa, while negatively impacting that of China and Turkey. Furthermore, it was found that the changes in renewable energy consumption positively affected Brazil after 2015, India after 2012, and China after 1998, South Africa after 2001, and Turkey after 2000. The structural changes evaluated for each country indicate significant dates. In light of these findings, the study is considered to make significant contributions to the literature, not only by exam ining the effects of economic growth, carbon dioxide emissions, and foreign direct investment inflows on renewable energy consumption but also by analysing structural changes and their impact on these relationships. In addition, this study indicates that countries should develop strategies to increase the use of renewable energy resources in policy processes by addressing the economic and environmental impacts of increasing energy consumption in a multidimensional way. Thus, achieving sustainable energy goals is possible by reducing carbon emissions, creating new employment opportunities and ensuring energy supply security.

Determinants of Renewable Energy Consumption: Case of BRICS-T Countries

Batuhan

Sümeyra

Determinants of Mutual Fund Performance: Evidence from Turkey

Burçay

The Impact of Selected Global Financial Indicators on the BIST 30  Index: An Analysis Using the Residual Augmented Least Squares  (RALS) Method

Ömer

The majority of Türkiye's soils exhibit low organic matter content. Fertilisers are categorised into chemical and organic types, with organic fertilisers typically possessing a lower nutrient content than chemical fertilisers and generally lacking a form readily absorbable by plants. Thus, chemical fertilisers predominantly fulfil the nutrient requirements of plants suitably and effectively. Therefore, the manufacture of chemical fertilisers is significant in Türkiye. However, since Türkiye has limited resources in terms of raw materials (such as natural gas, ammonia, phosphate rock, and sulphuric acid) required for chemical fertiliser production, the chemical fertiliser sector is heavily dependent on foreign sources. In Türkiye, Toros Tarım, İgsaş, and Gübretaş are the preeminent firms in chemical fertiliser manufacturing. Bagfaş, Ege Gübre, and Gemlik are additional prominent firms for transaction volume in chemical fertiliser manufacture, and these six enterprises collectively account for a substantial portion of Türkiye's chemical fertiliser market. Gübretaş is the sole company in Türkiye that started operations as a subsidiary of the Agricultural Credit Cooperatives, providing solid chemical fertiliser products to this entity. The present study aimed to analyse the causal interaction between the uncertainty in global oil prices and the geopolitical risk for Russia and the stock price of Gübretaş (GUBRF) by applying multiple causality tests together. The OPU index was employed as the main indicator of oil price uncertainty and the GPR index was employed as the main indicator of geopolitical risk. The study analysed the existence of a general causal relationship between changes in Gübretaş’s stock prices and the global OPU and GPR index values for Russia, as well as whether this relationship varies according to period (long and short run) and if any periodic causality changes over time. The study employed three distinct causality tests (Granger causality test, frequency domain causality test, and frequency domain time-varying bootstrap causality test), which are interrelated, and aimed to address a gap in the existing literature while offering insights to investors through its recommendations. This study differs from the existing literature as it is the first empirical study of the time-varying bootstrap causality test in the frequency domain in Türkiye context. The Granger causality test findings indicated&nbsp;a unidirectional Granger causation from GPR to GUBRF. There was no Granger causality between the other variables. Based on the results of the causality test in the frequency domain, we concluded that there is a long-run Granger causality from the GPR variable to the GUBRF variable. Hence, the change in the geopolitical risk index calculated for Russia has shaped the Gübretaş stock price. This result corrob orates the Granger Causality Test result. The results of the time-varying bootstrap causality test in the frequency domain indicated&nbsp;a long-run causal relationship from GPR to GUBRF. Nonetheless, the frequency domain causality test revealed no short-run causation from GPR to GUBRF, whereas the time-varying bootstrap causality test in the frequency domain identified such causality. Consequently, GPR has shaped GUBRF both in the long- and short-run. Additionally, the time-varying bootstrap causality test in the frequency domain indicated both long- and short-run causality from OPU to GUBRF. However, such a finding was not found in other tests. When assessed collectively, the three distinct interdependent causality tests employed in this study concluded that the volatility in global oil prices and the geopolitical risk associated with Russia exert a time-varying and unstable influence on Gübretaş’s stock price. These findings have significant consequences for investors and corporate executives. Investors must diversify their portfolios and implement hedging techniques against oil price volatility and geopolitical risks. Additionally, enter prises in the chemical fertiliser industry must develop strategies to diminish their reliance on non-renewable energy sources and implement methods to mitigate the effects of geopolitical risks on production processes. A proactive &nbsp;approach to global risks and uncertainties is crucial for safeguarding the financial stability of enterprises in the chemical fertiliser industry and mitigating investor losses.

Interaction between Uncertainty in Oil Prices, Geopolitical Risk, and BIST GUBRF: Time Varying Bootstrap Causality Test in the Frequency Domain

Büşra

Muhammet

Lecturer

The Role of Credit, Urbanisation, and Growth in Renewable Energy  Consumption: Evidence from Lower-Middle-income Countries

Süreyya

Examination of inflation convergence using fourier unit root tests:  OECD countries

Yusuf

Investıgatıng the Productıve Capacıty Performance of E7 Countrıes Using the WENSLO-ARTASI Model

Özlem

Human development is a paradigm that evaluates the well being of a society not only through economic growth but, also through multidimensional elements such as education, health, and living standards that shape the quality of life of individuals. Traditionally, the development level of countries has been measured by economic indicators such as GDP per capita; however, the limitations of this approach have become increasingly apparent. For example, deep inequalities in access to education and health services in a highincome country may indicate that well being is not widespread among the masses. The HDI was developed by the United Nations Development Programme (UNDP) in 1990 to measure human development from a perspective beyond economic growth and is a widely accepted measure internationally. The HDI is an important measure that represents the development levels of countries by taking the geometric average of the indices that represent three different dimensions: education level, income level and life expectancy, and reducing them to a single index. The HDI, which can take values between 0 and 1, ranks countries according to their performance in human development. Countries are grouped by the UNDP into four categories according to their HDI values: low human development (00.549), medium human development (0.5500.699), high human development (0.7000.799) and very high human development (0.8001). Although Türkiye is included in the "very high human development" category in the UNDP 2023 report, this general achievement does not provide information about the differences between the provinces. For example, while life expectancy in Istanbul is 78 years, this figure drops to 74 years in Eastern Anatolia; similarly, high school graduation rates exceed 85% in Western provinces, while they remain below 60% in Southeastern provinces. This heterogeneous structure reveals the need to redesign regional development policies. However, in the existing literature, studies that analyse HDI data of the provinces in Türkiye with comparative clustering techniques and integrated the time dimen sion (panel data) are limited. This deficiency makes it difficult for policy makers to develop targeted interventions. This study aims to classify the provinces in Türkiye based on the 2023 HDI components. In the classification process, f irst, the hierarchical mean (Ward technique), k medoids, fuzzy c means, and trimmed k means methods were used. In the second stage, the panel K means method was used by considering the time dimension of 20152023 to avoid missing data in the HDI components. With this study, a comprehensive comparison of clustering techniques will also be presented to the literature. According to the Ward Method, k means and fuzzy c means methods results, Ankara, Antalya, Çanakkale, Eskişehir, İstanbul, İzmir and Yalova are in the developed cluster, while Ağrı, Diyarbakır, Erzurum, Siirt, Şanlıurfa and Van are in the least developed cluster. According to the trimmed k means method, Mardin, Şırnak and Tunceli provinces were evaluated as outliers and excluded from the clustering. Within the scope of this method, Ankara, Bolu, Bursa, Eskişehir, İstanbul, İzmir, Kocaeli, Tekirdağ ve Yalova were included in the developed provinces cluster, while Ağrı, Batman, Diyarbakır, Iğdır, Kars and Van were classified in the least developed provinces cluster. One of the main features that distinguishes this study from similar ones is that the time dimension is also considered in the classification of the provinces. As a result of the cluster analysis performed with the panel K means method &nbsp;using the data between the years 20152023, the provinces in Türkiye were divided into seven clusters. According to the findings, while the provinces of Ankara, İstanbul, Kocaeli and Tekirdağ were in the most developed cluster, Ağrı, Batman, Bitlis, Diyarbakır, Iğdır, Kars, Mardin, Muş, Siirt, Şanlıurfa, Şırnak and Van were classified in the least developed cluster. This method, which considers the time dimension, allows the development levels of the provinces to be evaluated more dynamically. In addition, the results obtained using the panel K means method largely overlap with other clustering methods in determining the most and least developed provinces.It is a common and expected situation in the literature that the number of clusters obtained because of the application of different methods in cluster analyses differ from each other. Because of this difference, the clustering methods are based on their objective functions. For example, while the Ward method minimises the intra cluster variance, k means minimises the Euclidean distance to the cluster centres. As a result, it has been seen that different clustering methods give similar results and that panel data can be used effectively in such analyses. These analyses can be evaluated as an important tool in the development of regional development policies.

Classification of Provinces in Türkiye According to the Human Development Index  Using Different Clustering Techniques

Ayşe

Nabi

Adem

Economic Determinants of Nonperforming Loans in Turkey: Quantile ARDL Results

Şebnem

Ebru

The Impact of Organizational Climate on Innovative Behavior: The  Mediating Role of Work Engagement

Hatice

Öğretim Görevlisi Dr.

As global financial market integration has increased, inter-national and intra-national financial integration and convergence activities at the city level have increasingly become a focus of study among researchers. Borsa Istanbul calculated city indices to illustrate the performance of the capital market of firms listed in particular provinces and are important indicators of research on regional financial trends. Investigating whether such indices demonstrate a similar pattern over time gives us some suggestions of the degree of integration between city capital markets and the country’s financial system. This research seeks to explore the presence of financial convergence in city indices in Türkiye by exploring regional capital markets' long-run behaviour. Applying monthly data from December 2012 to December 2024, the first differ ences in the city indices were estimated to see if they tended to the group average. Understanding the shortcomings of conventional unit root tests in non-normal error distributions, the paper uses the standard LM test and the RALS LM unit root test more robust to handle non- normal residuals as well as structural breaks. In this context, examining whether the movements of city indices in the time series converge to each other, i.e., whether they follow a common trend, allows important inferences to be made about the extent to which regional f inancial structures are integrated with the national system. The presence of a long-run co-integration relationship between the indices that capital markets at the city level are integrated with the national market and respond similarly to systemic shocks. On the other hand, the divergent movements of city indices may indicate that regional segregation persists or that some regions are not fully integrated into the financial system. Such analyses can have important implications not only from an academic perspective but also for policy makers. It can provide guidance on issues such as assessing the effectiveness of regional development policies, geographical distribution of capital market participation, and increasing regional financial inclusion. In addition, for investors, it can contribute to the conduct of city- based risk-return analyses in the context of portfolio diversification. The empirical results differ depending on the test specifications. Based on the proof of the RALS-LM test that considers two breaks in the structure of the intercept and trend variables, the Adana, Antalya, Balıkesir, Bursa, Denizli, Istanbul, Kocaeli, Konya, and Tekirdağ indexes are stationary in the long run, thereby confirming the financial convergence phenomenon. The Ankara, Izmir, and Kayseri indexes are not found to be convergent, thus indicating a persistent divergence from the group trend. These results that Türkiye’s regional capital markets do not form a homogenous pattern and that financial integration processes vary significantly between cities, reflecting asymmetric distributions of financial development. The findings are consistent with the "club convergence" hypothesis frequently discussed in the literature on financial convergence. Systemic, institutional, and historical differences have often been found to rule out complete conver gence between regions or countries in earlier studies. Consistent with these results, this analysis illustrates the segmented regional financial system of Türkiye. Further, applying the RALS-LM test identified convergence among a larger list of cities than the LM test, indicating the methodological superiority in detecting convergence patterns in f inancial time series with non-normal features. This research offers significant consequences for economic policy and academic research. Where no convergence exists, some policies are necessary in order to deepen the capital markets, enhance firm participation in public issues, enhance financial literacy among domestic investors, and focus on regional financial infrastructure. These actions are essential for establishing a more balanced and inclusive national financial system. In summary, the current paper presents one of the first comprehensive empirical examinations of financial conver gence among cities in Türkiye based on the RALS-LM unit root approach. The study contributes to the literature on regional financial integration based on evidence on various trajectories of development in urban capital markets. The study further underscores the necessity of accounting for spatial and financial heterogeneities when designing f inancial policies that promote equity.

Measuring Regional Financial Convergence with RALS-LM Unit Root Test: The Case of  Borsa Istanbul City Indices

@JOURNAL_BOX_CURRENT

@JOURNAL_BOX_EARLYVIEW

Tuğba

Gökçe

Nowadays, there are many investment tools in the financial markets to assess the savings of individual investors. The diversity of investment instruments in the market makes it difficult for investors to make decisions about evaluating savings. Furthermore, developments and uncertainties in the economy affect the individual investor’s investment decision. In the economy, individuals use part of their income for consumption expenditures and savings. Individuals who make savings are evaluated byvarious investment instruments in order to make a profit. In this process, the main objective of investors is to obtain the highest return with minimum risk. Investors evaluate their savings in investment instruments with a certain expectation of return. The existence of many investment instruments in the economy reveals the issue of which investment instrument the investor should use. A balanced distribution of investor accumulation in multiple investment instruments instead of a single investment instrument will provide protection against fluctuations in the markets. Throughout the history of finance, studies have been conducted on how markets affect individual investment preferences. Investors follow the political, economic and social situations in the markets to make the right investment decision. There are many investment tools for transferring the idle resources to the financial system. Financial investment instruments provide the opportunity for individuals who make savings to protect their capital and earn money. For this reason, financial decisions are important in the efficient functioning of the market. All future financial decisions include uncertainty. The uncertainty of the future makes investors’ decision difficult. The financial decisions of investors who wish to use their savings in various investment instruments are important in the efficient management of funds in the economy. Decisions have a significant impact on financial markets. Monetary loss or profit as a result of the investment makes it difficult for investors to make decisions. Individual investors aim to achieve the highest risk with the lowest risk in financial investment decisions. If the risk of a financial investment instrument is high, the expectation of high return on this investment instrument increases. Traditional finance theories are based on the principle that individuals make decisions by acting rationally. Individual investors make a rational choice of financial investment instruments in their investment decisions and strive for maximum return on their savings. Since investors are rational, they analyze decisions in financial investment instruments rationally. However, in this process, the investor encounters many factors affecting the investment decision in the market. The decisions taken affect the outcome of the investment either positively or negatively. Therefore, the evaluation of the criteria affecting the investment decision has been included in many academic researches.&nbsp;In this study, the importance of the criteria affecting the investment decisions of the investors trading in financial markets is analyzed. The aim of this study is to compare the criteria that the financial investment decision makers take into consideration in the decision-making process. The criteria included in the study; Global Markets, Domestic Financial Indicators, Investment Instrument Characteristics and Analysis Techniques Used. The aim of this study is to reveal the economic, social, investment instrument characteristics and analysis techniques that are useful in the process of evaluating the savings of individual investors in financial investment instruments. The purpose of this study is to provide a new perspective by evaluating the relationships between the criteria affecting investment decision with the Fuzzy DEMATEL method. In addition to the support from the literature, my financial work experience contributed to my study in the process of determining the criteria included in the study. In this study, the Fuzzy DEMATEL method was used and the opinions of 10 experts responsible for financial decisions were taken. As a result of the findings obtained from the opinions of the experts based on the criteria, the most important criterion among the criteria was revealed to be Technical analysis. Investors pay attention to past price movements of investment instruments in decision-making. The second criterion that was given importance among the criteria was Global markets. After the financial globalization, all the information related to the economic and political situation of countries affect the values of the investment instruments in the market.

Evaluation of Factors Affecting Investment Decision Analysis Under Uncertainty Conditions with Fuzzy DEMATEL Approach

Gökhan

Mustafa

Fatma

As a result of the convergence hypothesis that the growth rates of developing and underdeveloped countries will be higher than those of developed countries, underdeveloped and developing countries will catch up with developed countries. In other words, the real gross domestic product of all countries will be equalized after a certain period of time. This idea is basically based on the law of decreasing yields. As a result of the capital increase of developed countries, which have reached the saturation point in terms of capital, the output increase rate is below the output increase rate as a result of the capital increase of underdeveloped and developing countries, which are insufficient in terms of capital. The basis of the convergence hypothesis is based on Solow (1956). Until Solow’s work, an acceptable theoretical explanation could not be given to this phenomenon, which was voiced by many theorists prior to Solow. The basis of the convergence hypothesis is based on Solow (1956). Moreover, most of the growth models are directly or indirectly based on the Solow model. There are multiple types of convergence tested in the literature. Earlier models did not distinguish between old and new technology, and looked at both old and new technology with one vision. The introduction of technological progress means that there is a difference in the efficiency of old and new technology. Thus, the model means that only physical capital accumulation cannot bring about growth per capita or increase the amount of production. In particular, given a microeconomic specification of technologies and preferences, the per capita output in an economy will approach the same level, regardless of initial capital (Timakova, 2011). When comparing different economies, it means that for economies with the same technologies and preferences, the difference in production per capita will be temporary.The Solow growth model is the first to present convergence. It has deeply influenced the way economists conceptualize long-term relationships between macroeconomics. According to this hypothesis within the neo-classical growth theory approaches, the income of the less developed countries will reach the level of developed countries after a while. That is, the exact definition of convergence is to achieve the same fixed income level. Convergence hypothesis studies generally use external theory (Rivas ve Villarroya, 2017). Because the concept of convergence emerged, if different countries have the same preferences and technology, it can be said that the poorer countries tend to grow faster than the rich countries, especially in the presence of accumulated factors, particularly the decrease in marginal returns in capital use. Each country will reach its own stable state, but the differences in the per capita income will be reduced. When the rich and poor countries reach the same fixed income level, another possible solution can be seen. The hypothesis of convergence of incomes of underdeveloped countries to incomes of developed countries is a hypothesis frequently tested in the literature. Different types of convergence hypothesis can be tested in terms of econometrics. In this study, the convergence of annual income series of the EU member countries, covering the period of 1960-2018, was examined and the stochastic convergence hypothesis, one of the convergence types, was tested with panel unit root tests based on SUR models. The ADF and KSS panel unit root tests based on SUR models. The ADF and KSS panel unit root tests are second generation panel unit root tests. The ADF and KSS panel unit root tests take into account the cross-sectional dependency and allow for an explanation of each unit separately. In this study, using SURADF and SURKSS unit root tests, the convergence status of the EU member countries to the group average of the EU was examined, and results were given about whether the convergence hypothesis is valid for each country separately.

Convergence of EU Countries: SURADF and SURKSS Unit Root Test

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Kevser

Selay

This study evaluates the relations between economic performance, democracy index and economic freedoms, which are widely discussed in economic theory. The aim of this study is to investigate the direct and indirect effects of democracy index and economic freedoms on economic performance. The study was conducted with the data of 45 European countries for 2017. Data from countries with insufficient information was excluded from the analysis. Data on the economic freedom variable The Heritage Foundation, from the link: https://www.heritage.org/index/ explore?view=by-region-country year &amp; u = 636967067347971774), also contains data on the democracy index variable. The democracy index report published by the Economist Intelligence Unit (The EIU) can be found at the link: https://pages.eiu. com/rs/753-RIQ 438 / images / Democracy_Index_2017.pdf). Data for the economic performance variable were obtained from the International Monetary Fund (IMF) and the World Bank (World Bank) database. The concept of freedom can encompass many different definitions of the idea of economic freedom. Some of these definitions are as follows: Economic freedom consists of a combination of property rights and the protection of individuals, the right to make individual choices and the freedom to compete (Gwartney ve Lawson, 2003, p.406). The concept of economic freedom therefore can be understood to mean that people voluntarily engage in consumption and investment activities at any time without the control and restrictions of the state, that their rights are under state protection and that they participate in the labor force (Şenalp, 2018, p.319). When democracy is defined as a political system, it is a regime in which all adults have the right to vote, where candidates in the election can freely compete, and through periodic elections, decision makers come to power with strong authority (Huntington, 1984, p.195). Democracy also provides freedom and the possibility of self-determination (Schwartz, 1993, p.552). A two-stage approach was used to determine the consistency of the data used in the study with the research hypotheses (Anderson and Gerbing, 1988). In the first step,&nbsp;the measurement model was tested to determine whether the observed variables in the model accurately measured the latent variables to which they belong. This stage of the analysis is considered as Confirmatory Factor Analysis. If the indicator variables that make latent variables measurable do not accurately measure the constructed structure, the next step, the structural model, will not need to be tested. For this reason, the measurement model must meet the requirements for compliance. The second stage includes the testing of the structural model (Huchting, Lac and Labrie, 2008, p.543). When the model was evaluated according to the obtained t-values, there was a direct relationship between economic freedom and democracy index, and between democracy index and economic performance, while no direct relationship was found between economic freedom and economic performance. This suggests that the index of democracy may be a mediating variable. In order to evaluate the mediation effect, a significant relationship was found between economic freedom and economic performance. When the index of democracy is included in the model, the value of the path coefficient between these two variables decreases and the path becomes meaningless. In this case, it can be said that the index of democracy fully mediates the relationship between economic freedom and economic performance. In other words, the relationship between economic freedom and economic performance is indirectly realized through the democracy index. The fact that there is a direct relationship between economic freedom and democracy index and democracy index and economic performance supports the mediating effect (Judd and Kenny, 1981, pp. 605-606; Baron and Kenny, 1986, p.1176-1177). This study shows that economic performance and economic freedom, which are the determinants of the institutional structure for European countries, can be increased with economic performance and economic freedoms in order to improve democracy. For sustainable economic performance, countries should strengthen and add importance to their institutional structures. Countries aiming to increase their economic performance should set policies to increase their democracies and economic freedoms. Since the findings obtained belong to a certain group of countries, they cannot be generalized for all countries of the world. In future studies, analyses can be made for different country groups and time periods. The results obtained by using different analysis programs and different estimation methods can then be compared. The sub-components of economic freedom affect the environment and functioning of the market and contribute to the development of democracy, with the effect it has on entrepreneurship. Furthermore, individual commercial activities positively affect economic performance.

An Evulation on Effect of Freedoms on Economic Performance with Structural Equation Modeling

Mücahit

Purchasing power parity (PPP), which is one of the subjects of interest in international finance and economy, is defined as a rate of change that equalizes the purchasing power of different currencies by eliminating price level differences between countries (TURKSTAT, 2008). In other words, the theory of purchasing power parity states that the nominal exchange rate between the two currencies is determined by the purchasing power of each country’s currency. This means that the exchange rate between the two countries must be equal to a fixed level of goods and services basket price of the two currencies. While economists generally doubt the validity of PPP in the short term, they agree that it is necessary to investigate whether PPP is valid in the long term because price differences between countries are not sustainable in the long term (Acaravcı and Öztürk, 2010). Chortareas and Kapetanios (2009) evaluated the importance of purchasing power parity in terms of both traditional and new approaches to open economy macroeconomics for policy purposes. According to the traditional approach, the validity of PPP is valuable information for policy-makers who want to evaluate the effects of devaluation since the effects of devaluation under PPP on competitiveness will be eliminated in the long term. In open economies with new approaches, PPP is a necessary condition for equalizing market integrity and marginal utility. Empirical studies use cointegration tests, variance ratio tests, and quantitative regressions for nominal exchange rates and prices, and unit root tests for real exchange rates, to assess the validity of PPP. (Chortareas and Kapetanios, 2009; 391). The estimation of PPP exchange rates is very important for practical purposes. These objectives are; (i) determining the degree of deviation from the nominal exchange rate, ie determining whether the exchange rate is low or not. (ii) making appropriate policy decisions; (iii) adjusting currency parities; (iv) an international comparison of national income levels; and (v) a comparison between domestic price and foreign price (Sarno and Taylor, 2002). Whether PPP is valid or not should be examined. Where PPP is not valid, PPP cannot be used as a criterion for international income level comparison and estimation of real exchange rates, and where applicable, it can be used as a criterion for the level of development comparisons and the reliability of all economic decisions (Güriş et al. 2016). . In this study, the validity of purchasing power parity was examined using Fourier unit root tests for Turkey for the period 1992:01-2018:12. In order to make a comparison, two different recently developed unit root tests were used in the study. The study is expected to contribute to the current literature in terms of the method used. The studies for Turkey is as follows; Gurbuz and Hasgur (1997), Telatar and Kazdagli (1998), Erlat (2003), Yazgan (2003), Alba and Park (2005), Aslan and Kanbur (2007), Ozdemir (2008), Kalyoncu (2009), Lightning and Lightning (2012), Sener et al. (2015), Güriş et al. (2016), Rock and Steel (2018). In cases where series do not have a linear structure, nonlinear unit root tests give more powerful results than linear unit root tests. In the literature, there are unit root tests examining stationarity structures of nonlinear series. In this study, Güris (2018) and Ranjbar et al. (2018) non-linear Fourier unit root tests were used. Firstly, the linearity of the calculated real exchange rate series was examined and it was found that it does not have a linear structure. In the second part of the empirical analysis, the stationarity of the series was examined with the help of Fourier unit root tests. The obtained results indicate that Turkey has a stationary structure in the real exchange rate series. Accordingly, it is seen that the PPP hypothesis is valid for Turkey. In other words, the analyzed period, the real exchange rate being stationary and Turkey coming to the real exchange rate shocks are temporary. The validity of PPP means that the prices of goods expressed in the same currency are the same anywhere in the world. Therefore, PPP is expected to play an active role in the monetary policy decision for Turkey.

Investigation of the Validity of Purchasing Power Parity Hypothesis with Fourier Unit Root Tests: The Case of Turkey

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EKOIST Journal of Econometrics and Statistics is published twice a year, every 6 months. Our journal aims to publish high quality articles on the application of new econometric techniques, including economics and related topics, covering measurement, forecasting, testing, forecasting and policy analysis. Appropriate interpretation of the results obtained by careful and rigorous application of econometric techniques is emphasized. Emphasis should be stressed on economic content in articles.

EKOIST Journal of Econometrics and Statistics publishes high quality research, mainly in the fields of Econometrics, Statistics and operations research. To provide an outlet for innovative, quantitative research in economics, which includes achievable techniques and can be easily repeated by other researchers. All submissions are subject to a double blind review process.  EKOIST Journal of Econometrics and Statistics has been published as a "peer-reviewed journal" every six months since 2005. The language of the journal is English and Turkish. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged.

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Istanbul University, EKOIST Journal of Econometrics and Statistics is published twice a year, every 6 months.Our journal aims to publish high quality articles on the application of new econometric techniques, including economics and related topics, covering measurement, forecasting, testing, forecasting and policy analysis.Appropriate interpretation of the results obtained by careful and rigorous application of econometric techniques is emphasized.Emphasis should be stressed on economic content in articles.Istanbul University, EKOIST Journal of Econometrics and Statistics publishes high quality research, mainly in the fields of Econometrics, Statistics and operations research.To provide an outlet for innovative, quantitative research in economics, which includes achievable techniques and can be easily repeated by other researchers.All submissions are subject to a double blind review process.Istanbul University, EKOIST Journal of Econometrics and Statistics has been published as a &#34;peer-reviewed journal&#34; every six months since 2005.The language of the journal is English and Turkish.Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged.

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The journal is committed to upholding the highest standards of publication ethics and pays regard to Principles of Transparency and Best Practice in Scholarly Publishing published by the <a href="https://publicationethics.org/" target="_blank">Committee on Publication Ethics (COPE)</a>, the <a href="https://doaj.org/apply/transparency/#principles-of-transparency-and-best-practice-in-scholarly-publishing" target="_blank">Directory of Open Access Journals (DOAJ)</a>, the <a href="https://oaspa.org/" target="_blank">Open Access Scholarly Publishers Association (OASPA)</a>, and the <a href="https://www.wame.org/" target="_blank">World Association of Medical Editors (WAME)</a> on <a href="https://publicationethics.org/resources/guidelines-new/principles-transparency-and-best-practice-scholarly-publishing" target="_blank">https://publicationethics.org/resources/guidelines-new/principles-transparency-and-best-practice-scholarly-publishing</a> The subjects covered in the manuscripts submitted to the Journal for publication must be in accordance with the aim and scope of the Journal. Only those manuscripts approved by every individual author and that were not published before in or sent to another journal, are accepted for evaluation.Changing the name of an author (omission, addition or order) in papers submitted to the Journal requires written permission of all declared authors.Plagiarism, duplication, fraud authorship/denied authorship, research/data fabrication, salami slicing/salami publication, breaching of copyrights, prevailing conflict of interest are unethical behaviors. All manuscripts not in accordance with the accepted ethical standards will be removed from the publication. This also contains any possible malpractice discovered after the publication. Plagiarism Submitted manuscripts that pass preliminary control are scanned for plagiarism using iThenticate software. If plagiarism/self-plagiarism will be found authors will be informed. Editors may resubmit manuscript for similarity check at any peer-review or production stage if required. High similarity scores may lead to rejection of a manuscript before and even after acceptance. Depending on the type of article and the percentage of similarity score taken from each article, the overall similarity score is generally expected to be less than 15 or 20%. Double Blind Peer-Review After plagiarism check, the eligible ones are evaluated by the editors-in-chief for their originality, methodology, the importance of the subject covered and compliance with the journal scope. The editor provides a fair double-blind peer review of the submitted articles and hands over the papers matching the formal rules to at least two national/international referees for evaluation and gives green light for publication upon modification by the authors in accordance with the referees’ claims.

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The journal is an open access journal and all content is freely available without charge to the user or his/her institution. Except for commercial purposes, users are allowed to read, download, copy, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the <a href="https://www.budapestopenaccessinitiative.org/read" target="_blank">BOAI</a> definition of open access.The open access articles in the journal are licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (<a href="https://creativecommons.org/licenses/by-nc/4.0/deed.en" target="_blank">CC BY-NC 4.0</a>) license.

All expenses of the journal are covered by the Istanbul University. Processing and publication are free of charge with the journal. There is no article processing charges or submission fees for any submitted or accepted articles.

Authors publishing with the journal retain the copyright to their work licensed under the Creative Commons Attribution-NonCommercial 4.0 International license (<a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank">CC BY-NC 4.0</a>) (<a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank">https://creativecommons.org/licenses/by-nc/4.0/</a>  ) and grant the Publisher non-exclusive commercial right to publish the work. CC BY-NC 4.0 license permits unrestricted, non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Editor should consider publishing correction if minor errors that do not effect the results, interpretations and conclusions of the published paper are detected. Editor should consider retraction if major errors and/or misconduction that invalidate results and conclusions are detected.Editor should consider issuing an expression of concern if there is evidence of research or publication misconduct by the authors; there is evidence that the findings are not reliable and institutions of the authors do not investigate the case or the possible investigation seems to be unfair or nonconclusive. The guidelines of <a href="https://publicationethics.org/resources/flowcharts/complete-set-english" target="_blank">COPE</a> and <a href="https://www.icmje.org/recommendations/" target="_blank">ICJME</a> are taken into consideration regarding correction, retractions or expression of concern.RetractionJournal follows <a href="https://publicationethics.org/sites/default/files/retraction-guidelines-cope.pdf" target="_blank">COPE’s Retraction Guidelines</a> in case of retraction. The editor has the right to retract an article if: <ul><li>There is clear evidence that the findings are unreliable; either as a result of a major error (e.g. miscalculation or experimental error), or as a result of fabrication (e.g. of data) or falsification (e.g. image manipulation).</li><li>It contains plagiarised content. </li><li>It has been published elsewhere without proper attribution. </li><li>It contains material or data without authorisation for use.</li><li>There is copyright infringement or there is some other serious legal issue.</li><li>It reports unethical research. </li><li>There is evidence that the peer-review process is compromised or manipulated.</li><li>The author(s) failed to disclose a significant competing interest (also known as a conflict of interest) that, in the opinion of the editor, would have unduly influenced the interpretation of the work or the recommendations of the editors and peer reviewers.</li></ul>In case of retraction the following steps are followed:<ul><li>Retraction notice including article title is published in a subsequent issue of the journal. The retraction notice is paginated and listed in the table of contents. </li><li>A link is provided between the retraction notice and the original article in the electronic version. </li><li>The online article is preceded by a page containing the retraction notice; the reader can then proceed to the article itself.</li><li>The original article remains unchanged, except for a watermark on the .pdf on each page stating that it has been &#34;retracted”.</li></ul>Article Removal for Legal ReasonsIn the following circumstances, except the metadata (title and authors), the text of the article is removed and a page informing that the article has been removed for legal reasons replaces the article. <ul><li>The article is found to be defamatory or to infringe the legal rights of others, and retraction is not deemed to be an adequate solution.</li><li>The article has been, or is reasonably likely to be the subject of a court order.</li><li>There is a significant risk to public health. </li></ul>

To guarantee that all papers published in the journal are maintained and permanently accessible, articles are stored in Dergipark which serves as a  national archival web site and at the same time permits LOCKSS to  collect, preserve, and serve the content.Additionally, authors are encouraged to self-archive the final PDF version of their articles in open electronic archives with  that conform to standards of Open Archives Initiative (<a href="https://www.openarchives.org/" target="_blank">https://www.openarchives.org/</a>). Authors should provide a link from the deposited version to the URL of IUPress journal website.

The Artificial Intelligence Policy, prepared in light of developments in artificial intelligence (AI) and practices in scholarly publishing, sets out the editorial and ethical principles that authors, reviewers, and editors should follow when using such technologies. The following sources have been considered in the preparation of the AI policy:Committee on Publication Ethics <a href="https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools" target="_blank">(COPE) - Authorship and AI tools</a>; International Committee of Medical Journal Editors <a href="https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html#four" target="_blank">(ICMJE) - Artificial Intelligence (AI)-Assisted Technology; World Association of Medical Editors  (WAME) Chatbots, Generative AI, and Scholarly Manuscripts</a><a href="https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html#four"></a>AI-assisted technologies (such as large language models [LLMs], chatbots, or image generators) can develop and produce a wide variety of content, including text, images, audio, and synthetic data. When used ethically and safely, these capabilities can increase productivity and foster innovation, but when used without human guidance, they pose risks such as inaccurate and biased results, omissions and errors in citations, deficiencies in protecting privacy and intellectual property rights, and potential violations of authors' and publishers' rights. IUPress adopts the following core principles to avoid these risks in the use of AI:  <ul><li>Details of any AI used in the production of content (including but not limited to text, figures, images, and code) must be declared and clearly explained in the appropriate section of the paper (as an acknowledgement and/or in the methods section). </li><li>No AI tool may be listed as an author in any scientific paper. </li><li>Authors are responsible for the accuracy, completeness, and originality of their work, even if AI is used in any way; they are responsible for the proper referencing and attribution of others' ideas, data, words, or other materials. </li><li>Reviewers and editors must not upload submitted work, in whole or in part, to any generative AI application.</li></ul>In the editorial processes of IUPress publications, tools are available to assist editors in identifying AI-generated content. On the other hand, it is common to use AI tools that provide suggestions for improving and enhancing readability, language, and grammar, and such AI tools can be used in IUPress publications under the supervision of editors and authors.

Artificial Intelligence Policy

<ul><li>Authors are required to declare if they have used AI-assisted technologies (such as large language models [LLMs], chatbots, or image generators) in the creation of their submitted work. </li><li>Authors should explain, both in the cover letter and in the appropriate section of the submitted paper (as a footnote and/or in the methods section), which AI tool and which version of it they have used and for what purpose. </li><li>Authors should also indicate how they used the AI tool and how they assessed the validity of the results obtained using this technology, and what aspects of the paper, manuscript content, data or supporting files were influenced by the use of the AI tool or were generated by AI.</li><li>It is the authors' responsibility to ensure the accuracy, validity and appropriateness of content and citations generated by AI-assisted technologies and to eliminate potential errors, inconsistencies and biased results. </li><li>Authors should always check the original sources to eliminate possible plagiarism, recognising that there is a potential for plagiarism in texts produced with AI-assisted technologies. They should confirm that they have checked and that the sources are original.  </li><li>AI-assisted tools (such as ChatGPT) cannot be listed as authors because they cannot be responsible for the accuracy, integrity, and originality of the work, and these responsibilities are essential to authorship. Therefore, authors are responsible for all material involving the use of AI-assisted technologies. Authors should ensure that all statements in the article that state the hypotheses, interpretations, conclusions, limitations, and implications of the study represent their own opinions.  </li><li>Studies created by authors using AI tools in the following ways, which substitute for the basic researcher's and author's responsibilities, violate the principles of scientific publishing and publication ethics, and such studies are not eligible for inclusion in publications: </li></ul><ul><ul><li>Generation of text or code without rigorous review, </li><li>Generation of synthetic data to replace missing data without a robust methodology, </li><li>Creation of any inaccurate, synthetic content, including abstracts or supplementary materials, </li><li>Creation and manipulation of images and figures (pictures, graphs, data tables, medical images, image snippets, computer codes and formulae) or original research data (enhancing, hiding, moving, removing or adding a particular feature within an image or figure) using AI.</li></ul></ul>

It is essential to maintain confidentiality in the peer review process and not to share or use the reviewed work in this process. <a href="https://publicationethics.org/sites/default/files/ethical-guidelines-peer-reviewers-cope.pdf" target="_blank">(COPE – Ethical Guidelines for Peer Reviewers</a>)<ul><li>Reviewers should not upload a manuscript or part of a manuscript submitted to them for review to generative AI tools or large language models to assist in the review, evaluation or decision-making process, as uploading content to such AI tools by reviewers violates the authors' privacy and property rights.  </li><li>Reviewing a scientific paper is a responsibility that can only be undertaken by human beings. The critical thinking and original evaluation required for peer review is beyond the scope of this technology, and there is a risk that the technology will produce inaccurate, incomplete or biased conclusions about the paper. The peer review report and decision letters should reflect the personal assessment of the reviewers and editors of the submitted content. The reviewer is responsible and accountable for the content of his/her report. </li><li>AI tools may be used in a limited way to improve the quality of the language of the peer review report (for translation or language editing) in the context of peer review. If such use is made, the reviewer must declare the use when submitting the report. </li><li>Reviewers who suspect inappropriate or undisclosed use of generative AI in a submission should report their concerns to the editor.</li></ul>

Editors are obliged to ensure that the confidentiality of the manuscripts submitted to the journal is maintained during the evaluation process, and it is essential that the peer-reviewed work is not shared or used outside the parties involved in that process. (COPE - Code of Conduct and Best Practice Guidelines for Journal Editors) <a href="https://publicationethics.org/files/Code_of_conduct_for_journal_editors_Mar11.pdf" target="_blank">(COPE – Code of Conduct and Best Practice Guidelines for Journal Editors)</a>.<ul><li>Editors should not upload a submitted article, or any part of it, to generative Artificial Intelligence tools or Big Language Models to assist in the review, evaluation or decision-making process, as this may violate authors' privacy and property rights. </li><li>Managing the editorial review of a scientific article implies responsibilities that can only be attributed to humans. Generative AI or AI-assisted technologies should not be used by editors to assist in the evaluation or decision-making process of an article, as the critical thinking and original evaluation required for this task is beyond the scope of this technology and there is a risk that the technology will produce inaccurate, incomplete or biased conclusions about the article. The editor is responsible and accountable for the editorial process, the final decision and its communication to the authors.</li><li>Editors should not use generative AI tools to compose decision letters or abstracts of unpublished research. </li><li>Editors may use generative AI tools to help find appropriate reviewers.</li><li>If editors suspect the use of generative AI in a submitted manuscript or a submitted referee report, they should conduct an editorial review of the matter and consider the policy.</li></ul>

EKOIST Journal of Econometrics and Statistics is committed to upholding the highest standards of publication ethics and pays regard to Principles of Transparency and Best Practice in Scholarly Publishing published by the <a href="https://publicationethics.org/" target="_blank">Committee on Publication Ethics (COPE)</a>, the <a href="https://doaj.org/apply/transparency/#principles-of-transparency-and-best-practice-in-scholarly-publishing" target="_blank">Directory of Open Access Journals (DOAJ)</a>, the <a href="https://oaspa.org/" target="_blank">Open Access Scholarly Publishers Association (OASPA)</a>, and the <a href="https://www.wame.org/" target="_blank">World Association of Medical Editors (WAME)</a> on <a href="https://publicationethics.org/resources/guidelines-new/principles-transparency-and-best-practice-scholarly-publishing" target="_blank">https://publicationethics.org/resources/guidelines-new/principles-transparency-and-best-practice-scholarly-publishing</a>All parties involved in the publishing process (Editors, Reviewers, Authors and Publishers) are expected to agree on the following ethical principles.All submissions must be original, unpublished (including as full text in conference proceedings), and not under the review of any other publication synchronously. Each manuscript is reviewed by one of the editors and at least two referees under double-blind peer review process. Plagiarism, duplication, fraud authorship/denied authorship, research/data fabrication, salami slicing/salami publication, breaching of copyrights, prevailing conflict of interest are unnethical behaviors.All manuscripts not in accordance with the accepted ethical standards will be removed from the publication. This also contains any possible malpractice discovered after the publication. In accordance with the code of conduct we will report any cases of suspected plagiarism or duplicate publishing.

Ethics

The journal adheres to the highest standards in research ethics and follows the principles of international research ethics as defined below. The authors are responsible for the compliance of the manuscripts with the ethical rules.-    Principles of integrity, quality and transparency should be sustained in designing the research, reviewing the design and conducting the research.-    The research team and participants should be fully informed about the aim, methods, possible uses and requirements of the research and risks of participation in research.-    The confidentiality of the information provided by the research participants and the confidentiality of the respondents should be ensured. The research should be designed to protect the autonomy and dignity of the participants.-    Research participants should participate in the research voluntarily, not under any coercion.-    Any possible harm to participants must be avoided. The research should be planned in such a way that the participants are not at risk.-    The independence of research must be clear; and any conflict of interest or must be disclosed.-    In experimental studies with human subjects, written informed consent of the participants who decide to participate in the research must be obtained. In the case of children and those under wardship or with confirmed insanity, legal custodian’s assent must be obtained.-    If the study is to be carried out in any institution or organization, approval must be obtained from this institution or organization.-    In studies with human subject, it must be noted in the method’s section of the manuscript that the informed consent of the participants and ethics committee approval from the institution where the study has been conducted have been obtained.

It is authors’ responsibility to ensure that the article is in accordance with scientific and ethical standards and rules. And authors must ensure that submitted work is original. They must certify that the manuscript has not previously been published elsewhere or is not currently being considered for publication elsewhere, in any language. Applicable copyright laws and conventions must be followed. Copyright material (e.g. tables, figures or extensive quotations) must be reproduced only with appropriate permission and acknowledgement. Any work or words of other authors, contributors, or sources must be appropriately credited and referenced.All the authors of a submitted manuscript must have direct scientific and academic contribution to the manuscript. The author(s) of the original research articles is defined as a person who is significantly involved in “conceptualization and design of the study”, “collecting the data”, “analyzing the data”, “writing the manuscript”, “reviewing the manuscript with a critical perspective” and “planning/conducting the study of the manuscript and/or revising it”. Fund raising, data collection or supervision of the research group are not sufficient roles to be accepted as an author. The author(s) must meet all these criteria described above. The order of names in the author list of an article must be a co-decision and it must be indicated in the <a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/ABC26D9F796147E2BEB8F140CC273B87" target="_blank">Copyright Agreement Form</a>. The individuals who do not meet the authorship criteria but contributed to the study must take place in the acknowledgement section. Individuals providing technical support, assisting writing, providing a general support, providing material or financial support are examples to be indicated in acknowledgement section.All authors must disclose all issues concerning financial relationship, conflict of interest, and competing interest that may potentially influence the results of the research or scientific judgment.When an author discovers a significant error or inaccuracy in his/her own published paper, it is the author’s obligation to promptly cooperate with the Editor to provide retractions or corrections of mistakes.

Editor-in-Chief evaluates manuscripts for their scientific content without regard to ethnic origin, gender, sexual orientation, citizenship, religious belief or political philosophy of the authors. He/She provides a fair double-blind peer review of the submitted articles for publication and ensures that all the information related to submitted manuscripts is kept as confidential before publishing.Editor-in-Chief is responsible for the contents and overall quality of the publication. He/She must publish errata pages or make corrections when needed.Editor-in-Chief does not allow any conflicts of interest between the authors, editors and reviewers. Only he has the full authority to assign a reviewer and is responsible for final decision for publication of the manuscripts in the Journal.Reviewers must have no conflict of interest with respect to the research, the authors and/or the research funders. Their judgments must be objective.Reviewers must ensure that all the information related to submitted manuscripts is kept as confidential and must report to the editor if they are aware of copyright infringement and plagiarism on the author’s side.A reviewer who feels unqualified to review the topic of a manuscript or knows that its prompt review will be impossible should notify the editor and excuse himself from the review process.The editor informs the reviewers that the manuscripts are confidential information and that this is a privileged interaction. The reviewers and editorial board cannot discuss the manuscripts with other persons. The anonymity of the referees must be ensured. In particular situations, the editor may share the review of one reviewer with other reviewers to clarify a particular point.

Only those manuscripts approved by its every individual author and that were not published before in or sent to another journal, are accepted for evaluation.Submitted manuscripts that pass preliminary control are scanned for plagiarism using iThenticate software. After plagiarism check, the eligible ones are evaluated by editor-in-chief for their originality, methodology, the importance of the subject covered and compliance with the journal scope. The selected manuscripts are sent to at least two national/international referees for evaluation and publication decision is given by editor-in-chief  upon modification by the authors in accordance with the referees’ claims.Editor-in-Chief evaluates manuscripts for their scientific content without regard to ethnic origin, gender, sexual orientation, citizenship, religious belief or political philosophy of the authors. He/She provides a fair double-blind peer review of the submitted articles for publication and ensures that all the information related to submitted manuscripts is kept as confidential before publishing. Editor-in-Chief is responsible for the contents and overall quality of the publication. He/She must publish errata pages or make corrections when needed. Editor-in-Chief does not allow any conflicts of interest between the authors, editors and reviewers. Only he has the full authority to assign a reviewer and is responsible for final decision for publication of the manuscripts in the Journal. Reviewers must have no conflict of interest with respect to the research, the authors and/or the research funders. Their judgments must be objective. Reviewers must ensure that all the information related to submitted manuscripts is kept as confidential and must report to the editor if they are aware of copyright infringement and plagiarism on the author’s side. A reviewer who feels unqualified to review the topic of a manuscript or knows that its prompt review will be impossible should notify the editor and excuse himself from the review process. The editor informs the reviewers that the manuscripts are confidential information and that this is a privileged interaction. The reviewers and editorial board cannot discuss the manuscripts with other persons. The anonymity of the referees must be ensured. In particular situations, the editor may share the review of one reviewer with other reviewers to clarify a particular point.

Peer Review

Only those manuscripts approved by its every individual author and that were not published before in or sent to another journal, are accepted for evaluation. Submitted manuscripts that pass preliminary control are scanned for plagiarism using iThenticate software. After plagiarism check, the eligible ones are evaluated by Editor-in-Chief for their originality, methodology, the importance of the subject covered and compliance with the journal scope. Editor-in-Chief evaluates manuscripts for their scientific content without regard to ethnic origin, gender, sexual orientation, citizenship, religious belief or political philosophy of the authors and ensures a fair double-blind peer review of the selected manuscripts. The selected manuscripts are sent to at least two national/international external referees for evaluation and publication decision is given by Editor-in-Chief upon modification by the authors in accordance with the referees’ claims. Editor-in-Chief does not allow any conflicts of interest between the authors, editors and reviewers and is responsible for final decision for publication of the manuscripts in the Journal. Reviewers’ judgments must be objective. Reviewers’ comments on the following aspects are expected while conducting the review. - Does the manuscript contain new and significant information? - Does the abstract clearly and accurately describe the content of the manuscript? - Is the problem significant and concisely stated? - Are the methods described comprehensively? - Are the interpretations and consclusions justified by the results? - Is adequate references made to other Works in the field? - Is the language acceptable? Reviewers must ensure that all the information related to submitted manuscripts is kept as confidential and must report to the editor if they are aware of copyright infringement and plagiarism on the author’s side. A reviewer who feels unqualified to review the topic of a manuscript or knows that its prompt review will be impossible should notify the editor and excuse himself from the review process. The editor informs the reviewers that the manuscripts are confidential information and that this is a privileged interaction. The reviewers and editorial board cannot discuss the manuscripts with other persons. The anonymity of the referees is important.

LanguageThe language of the journal is both Turkish and English.Manuscript Organization and SubmissionAll correspondence will be sent to the first-named author unless otherwise specified. Manuscpript is to be submitted online via <a href="https://dergipark.org.tr/tr/pub/ekoist" target="_blank">https://dergipark.org.tr/tr/pub/ekoist</a> and it must be accompanied by a cover letter indicating that the manuscript is intended for publication, specifying the article category (i.e. research article, review etc.) and including information about the manuscript (see the Submission Checklist). Manuscripts should be prepared in Microsoft Word 2003 and upper versions. In addition, <a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/ABC26D9F796147E2BEB8F140CC273B87" target="_blank">Copyright Agreement Form</a> that has to be signed by all authors must be submitted. The Copyright Agreement Form must be scanned and converted to .pdf format with wet signature(s) by the author(s) before being uploaded to the system.1. The manuscripts should be in A4 paper standards: having 2.5 cm margins from right, left, bottom and top, Times New Roman font style in 10 font size and line spacing of 1.15.2. The manuscripts should contain between 4500 and 8500 words and the page numbers must be at the bottom and in the middle.3. Author information and institutional details should not be present in the Word files uploaded to the system. The author-related information should be removed from the file by right-clicking on the full text document, selecting 'Properties,' then 'Details,' and choosing 'Remove personal information from this file.4. Submitted manuscripts in Turkish must have before the introduction section, the abstract both in Turkish and English, between 200 and 250 words and an extended abstract in English between 600-800 words, summarizing the scope, the purpose, the results of the study and the methodology used. Underneath the abstracts, 3 to 5 keywords that inform the reader about the content of the study should be specified in Turkish and in English. If the manuscript is written in English, it must include an abstract only in English.5. The manuscripts should contain mainly these components: title, abstract and keywords; extended abstract, body text with sections, footnotes and references.6. The 6th version of the APA (American Psychological Association) reference style should be used for in-text citation and references list. For information and samples on the APA 6 style please refer to http://jecs.istanbul.edu.tr/en/content/information-for-authors/references and/or REFERENCES section in the Information for Authors.7. Tables, graphs and figures can be given with a number and a defining title if and only if it is necessary to follow the idea of the article. the article. The title of table should be placed above the table; caption of figure should be placed beneath the figure. Features like demographic characteristics that can be given within the text should not be indicated as tables separately.8. A title page including author information must be submitted together with the manuscript. The title page is to include fully descriptive title of the manuscript and, affiliation, title, e-mail address, postal address, phone and fax number of the author(s) (see The Submission Checklist).9. Authors are responsible for all statements made in their work submitted to the Journal for publication.10. The author(s) can be asked to make some changes in their articles due to peer reviews.11. A copy of the journal will be sent to each author of the accepted articles upon their request.12. The manuscripts that were submitted to the journal will not be returned whether they are published or not.

Author Guidelines

Before beginning the online submission process please read the Information for Authors and make sure you have the followings available:Cover letter to the editor<ul type="disc"> <ul type="circle"> <li>The category of the manuscript</li> <li>Confirming that “the paper is not under consideration for publication in another journal”.</li> <li>Including disclosure of any commercial or financial involvement.</li> <li>Confirming that the statistical design of the research article is reviewed.</li> <li>Confirming that last control for fluent English was done.</li> <li>Confirming that journal policies detailed in Information for Authors have been reviewed.</li> <li>Confirming that the references cited in the text and listed in the references section are in line with APA 7.</li> </ul> </ul><a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/ABC26D9F796147E2BEB8F140CC273B87" target="_blank">Copyright Agreement Form</a>Permission of previous published material if used in the present manuscript <a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/965CF886B90F4DEA9522F2A5B3A261FD" target="_blank">Title page</a><ul type="disc"> <ul type="circle"> <li>The category of the manuscript</li> <li>The title of the manuscript both in Turkish and in English</li> <li>All authors’ names and affiliations (institution, faculty/department, city, country), e-mail addresses</li> <li>Corresponding author’s email address, full postal address, telephone and fax number</li> <li>ORCIDs of all authors.</li> </ul> </ul>Main Manuscript Document<ul type="disc"> <ul type="circle"> <li>The title of the manuscript both in Turkish and in English</li> <li>Abstracts (200-250 words) both in Turkish and in English</li> <li>Key words: 3 to 5 words both in Turkish and in English</li> <li>Extended Abstract (600-800 words) in English (only for Turkish articles)</li> <li>Main article sections</li> <li>Acknowledgement (if exits)</li> <li>References</li> <li>All tables, illustrations (figures) (including title, description, footnotes)</li> </ul> </ul>Manuscript Submission<ul type="disc"> <li>Dergipark manuscript submission site of the journal is: <a href="https://dergipark.org.tr/tr/pub/ekoist" target="_blank">https://dergipark.org.tr/tr/pub/ekoist</a></li><li>While uploading Main Document, make sure that the main document has no information that clarify the author’s identity. Due to double blind peer review, Main Document must not include Title Page, the name of author or any other detail that can disclose the author identity. </li> <li>Additionaly, Supplemental File for Review must not include any detail that can disclose author identity as well.</li> </ul><ul type="disc"> </ul>Files to be uploaded separately<ul type="disc"> <li>Copyright Agreement Form</li> <li>Permissions obtained for previously published material if used in the present manuscript</li> <li>Title page</li> <li>Main Manuscript Document</li> </ul><ul type="disc"> <ul type="circle"> <li>The title of the manuscript both in Turkish and in English</li> <li>Abstracts (200-250 words) both in Turkish and in English</li> <li>Key words: 3 to 5 words both in Turkish and in English</li> <li>Extended Abstract (600-800 words) in English (only for Turkish articles)</li> <li>Main article sections</li> <li>Acknowledgement (if exists)</li> <li>References</li> <li>All tables, illustrations (figures) (including title, description, footnotes)</li></ul></ul><ul type="disc"> </ul>

Although references to review articles can be an efficient way to guide readers to a body of literature, review articles do not always reflect original work accurately. Readers should therefore be provided with direct references to original research sources whenever possible. On the other hand, extensive lists of references to original work on a topic can use excessive space on the printed page. Small numbers of references to key original papers often serve as well as more exhaustive lists, particularly since references can now be added to the electronic version of published papers, and since electronic literature searching allows readers to retrieve published literature efficiently. Papers accepted but not yet included in the issue are published online in the Early View section and they should be cited as “advance online publication”. Citing a “personal communication” should be avoided unless it provides essential information not available from a public source, in which case the name of the person and date of communication should be cited in parentheses in the text. For scientific articles, written permission and confirmation of accuracy from the source of a personal communication must be obtained.Reference Style and FormatEKOIST: Econometrics and Statistics complies with APA (American Psychological Association) style 7th Edition for referencing and quoting. For more information:-    American Psychological Association. (2010). Publication manual of the American Psychological Association (7th ed.). Washington, DC: APA.-    <a href="http://www.apastyle.org" target="_blank">http://www.apastyle.org</a>Citations in the TextCitations must be indicated with the author surname and publication year within the parenthesis.If more than one citation is made within the same paranthesis, separate them with (;).Samples:More than one citation;(Esin, et al., 2002; Karasar, 1995)Citation with one author;(Akyolcu, 2007)Citation with two authors;(Sayıner &amp; Demirci, 2007)Citation with three, four, five authors;In references with three or more authors, valid for the first use; (Ailen et al., 2000)                                                                                                                  Citations in the ReferenceAll the citations done in the text should be listed in the References section in alphabetical order of author surname without numbering. Below given examples should be considered in citing the references.Basic Reference TypesBooka) Turkish BookKarasar, N. (1995). Araştırmalarda rapor hazırlama (8th ed.) [Preparing research reports]. Ankara, Turkey: 3A Eğitim Danışmanlık Ltd.b) Book Translated into TurkishMucchielli, A. (1991). Zihniyetler [Mindsets] (A. Kotil, Trans.). İstanbul, Turkey: İletişim Yayınları.c) Edited BookÖren, T., Üney, T., &amp; Çölkesen, R. (Eds.). (2006). Türkiye bilişim ansiklopedisi [Turkish Encyclopedia of Informatics]. İstanbul, Turkey: Papatya Yayıncılık.d) Turkish Book with Multiple AuthorsTonta, Y., Bitirim, Y., &amp; Sever, H. (2002). Türkçe arama motorlarında performans değerlendirme [Performance evaluation in Turkish search engines]. Ankara, Turkey: Total Bilişim.e) Book in EnglishKamien R., &amp; Kamien A. (2014). Music: An appreciation. New York, NY: McGraw-Hill Education.f) Chapter in an Edited BookBassett, C. (2006). Cultural studies and new media. In G. Hall &amp; C. Birchall (Eds.), New cultural studies: Adventures in theory (pp. 220–237). Edinburgh, UK: Edinburgh University Press.g) Chapter in an Edited Book in TurkishErkmen, T. (2012). Örgüt kültürü: Fonksiyonları, öğeleri, işletme yönetimi ve liderlikteki önemi [Organization culture: Its functions, elements and importance in leadership and business management]. In M. Zencirkıran (Ed.), Örgüt sosyolojisi [Organization sociology] (pp. 233–263). Bursa, Turkey: Dora Basım Yayın.h) Book with the same organization as author and publisherAmerican Psychological Association. (2009). Publication manual of the American psychological association (6th ed.). Washington, DC: Author.Articlea) Turkish ArticleMutlu, B., &amp; Savaşer, S. (2007). Çocuğu ameliyat sonrası yoğun bakımda olan ebeveynlerde stres nedenleri ve azaltma girişimleri [Source and intervention reduction of stress for parents whose children are in intensive care unit after surgery]. Istanbul University Florence Nightingale Journal of Nursing, 15(60), 179–182.b) English Articlede Cillia, R., Reisigl, M., &amp; Wodak, R. (1999). The discursive construction of national identity. Discourse and Society, 10(2), 149–173. http://dx.doi.org/10.1177/0957926599010002002c) Journal Article with DOI and More Than Twenty AuthorsKalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Leetmaa, A., . . . Joseph, D. (1996). The NCEP/NCAR 40- year reanalysis project. Bulletin of the American Meteorological Society, 77(3), 437–471. <a href="http://doi.org/fg6rf9" target="_blank">http://doi.org/fg6rf9</a>d) Journal Article from Web, without DOISidani, S. (2003). Enhancing the evaluation of nursing care effectiveness. Canadian Journal of Nursing Research, 35(3), 26–38. Retrieved from http://cjnr.mcgill.cae) Journal Article wih DOITurner, S. J. (2010). Website statistics 2.0: Using Google Analytics to measure library website effectiveness. Technical Services Quarterly, 27, 261–278. http://dx.doi.org/10.1080/07317131003765910f) Advance Online PublicationSmith, J. A. (2010). Citing advance online publication: A review. Journal of Psychology. Advance online publication. http://dx.doi.org/10.1037/a45d7867g) Article in a MagazineHenry, W. A., III. (1990, April 9). Making the grade in today’s schools. Time, 135, 28–31.Doctoral Dissertation, Master’s Thesis, Presentation, Proceedinga) Dissertation/Thesis from a Commercial DatabaseVan Brunt, D. (1997). Networked consumer health information systems (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 9943436)b) Dissertation/Thesis from an Institutional DatabaseYaylalı-Yıldız, B. (2014). University campuses as places of potential publicness: Exploring the politicals, social and cultural practices in Ege University (Doctoral dissertation). Retrieved from Retrieved from: http://library.iyte.edu.tr/tr/hizli-erisim/iyte-tez-portalic) Dissertation/Thesis from WebTonta, Y. A. (1992). An analysis of search failures in online library catalogs (Doctoral dissertation, University of California, Berkeley). Retrieved from http://yunus.hacettepe.edu.tr/~tonta/yayinlar /phd/ickapak.htmld) Dissertation/Thesis abstracted in Dissertations Abstracts InternationalAppelbaum, L. G. (2005). Three studies of human information processing: Texture amplifica&#173;tion, motion representation, and figure-ground segregation. Dissertation Abstracts International: Section B. Sciences and Engineering, 65(10), 5428.e) Symposium ContributionKrinsky-McHale, S. J., Zigman, W. B., &amp; Silverman, W. (2012, August). Are neuropsychiatric symptoms markers of prodromal Alzheimer’s disease in adults with Down syndrome? In W. B. Zigman (Chair), Predictors of mild cognitive impairment, dementia, and mortality in adults with Down syndrome. Symposium conducted at the meeting of the American Psychological Association, Orlando, FL.f) Conference Paper Abstract Retrieved OnlineLiu, S. (2005, May). Defending against business crises with the help of intelligent agent based early warning solutions. Paper presented at the Seventh International Conference on Enterprise Information Systems, Miami, FL. Abstract retrieved from http://www.iceis.org/iceis2005/abstracts_2005.htmg) Conference Paper - In Regularly Published Proceedings and Retrieved OnlineHerculano-Houzel, S., Collins, C. E., Wong, P., Kaas, J. H., &amp; Lent, R. (2008). The basic nonuniformity of the cerebral cortex. Proceedings of the National Academy of Sciences, 105, 12593–12598. http://dx.doi.org/10.1073/pnas.0805417105h) Proceeding in Book FormParsons, O. A., Pryzwansky, W. B., Weinstein, D. J., &amp; Wiens, A. N. (1995). Taxonomy for psychology. In J. N. Reich, H. Sands, &amp; A. N. Wiens (Eds.), Education and training beyond the doctoral degree: Proceedings of the American Psychological Association National Conference on Postdoctoral Education and Training in Psychology (pp. 45–50). Washington, DC: American Psychological Association.i) Paper PresentationNguyen, C. A. (2012, August). Humor and deception in advertising: When laughter may not be the best medicine. Paper presented at the meeting of the American Psychological Association, Orlando, FL.Other Sourcesa) Newspaper ArticleBrowne, R. (2010, March 21). This brainless patient is no dummy. Sydney Morning Herald, 45.b) Newspaper Article with no AuthorNew drug appears to sharply cut risk of death from heart failure. (1993, July 15). The Washington Post, p. A12.c) Web Page/Blog PostBordwell, D. (2013, June 18). David Koepp: Making the world movie-sized [Web log post]. Retrieved from http://www.davidbordwell.net/blog/page/27/d) Online Encyclopedia/DictionaryIgnition. (1989). In Oxford English online dictionary (2nd ed.). Retrieved from http://dictionary.oed.comMarcoux, A. (2008). Business ethics. In E. N. Zalta (Ed.). The Stanford encyclopedia of philosophy. Retrieved from http://plato.stanford.edu/entries/ethics-business/e) PodcastDunning, B. (Producer). (2011, January 12). in Fact: Conspiracy theories [Video podcast]. Retrieved from http://itunes.apple.com/f) Single Episode in a Television SeriesEgan, D. (Writer), &amp; Alexander, J. (Director). (2005). Failure to communicate. [Television series episode]. In D. Shore (Executive producer), House; New York, NY: Fox Broadcasting.g) MusicFuchs, G. (2004). Light the menorah. On Eight nights of Hanukkah [CD]. Brick, NJ: Kid Kosher.

Ensure that the following items are present:●    Cover letter to the editorü    The category of the manuscriptü    Confirming that “the paper is not under consideration for publication in another journal”.ü    Including disclosure of any commercial or financial involvement.ü    Confirming that the statistical design of the research article is reviewed.ü    Confirming that last control for fluent English was done.ü    Confirming that journal policies detailed in Information for Authors have been reviewed.ü    Confirming that the references cited in the text and listed in the references section are in line with APA 7.●    <a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/ABC26D9F796147E2BEB8F140CC273B87" target="_blank">Copyright Agreement Form</a>●    Permission of previously published copyrighted material if used in the present manuscript●    <a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/965CF886B90F4DEA9522F2A5B3A261FD" target="_blank">Title page</a>ü    The category of the manuscriptü    The title of the manuscriptü    All authors’ names and affiliations (institution, faculty/department, city, country), e-mail addressesü    Corresponding author’s email address, full postal address, telephone and fax numberü    ORCIDs of all authors.●    Main Manuscript Documentü    The title of the manuscriptü    Abstract (200-250 words)ü    Key words: 3 to 5 wordsü    Main article sectionsü    Grant support (if exists)ü    Conflict of interest (if exists)ü    Acknowledgement (if exists)ü    Referencesü    All tables, illustrations (figures) (including title, description, footnotes)

<a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/5EED6D226A1F408CB1F80809BA35B678" target="_blank">Copyright Agreement Form</a><a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/965CF886B90F4DEA9522F2A5B3A261FD" target="_blank">Title Page</a><a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/C22173424E4E4BCF9EDCBFFF68A2B77C" target="_blank">Author Form</a><a href="https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/868377F65370453F971BA8B5B1930638" target="_blank">Article Template</a>

Issue Type	Regular
Editor(s)	Nilgün Çil
Full Text (PDF)

EKOIST Journal of Econometrics and Statistics

ISSUE 29, 2018

Türkiye 2014-2016 Hayat Tablolarında Doğrusal-olmayan Büyüme Fonksiyonları Uygulaması

Does Women Well-being Matter for Demand and Development of Children?

Examining the Connection amongst Renewable Energy, Economic Growth and Carbon Dioxide Emissions in Algeria

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Korumasız Faiz Parite Kuramı ve 2005-2014 Dönemi Portföy Yatırımlarını Türkiye’ye Çeken Finansal Faktörlerin Tespit

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