Research Article


DOI :10.26650/ISTJECON2019-0028   IUP :10.26650/ISTJECON2019-0028    Full Text (PDF)

The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis

Bayram Aydın

In this study, economic indicators which have an effect on life expectancy were investigated for OECD countries in the early 21st century. When the development levels of countries and their life expectancy are examined, it is seen that underdeveloped countries are significantly behind the life expectancy at birth compared to developed countries. For this reason, it is of great importance to find out why the length of life is higher in economically developed countries and to investigate the economic indicators affecting this situation. When the studies in the literature are evaluated, it is seen that despite the importance of the subject, there are not enough studies examining the relationship between life expectancy and economic variables. In this study, Panel Regression Analysis and Panel Granger Causality Analysis were used for the period 2000- 2016. According to the findings of the study, bidirectional causality was determined between life expectancy and unemployment rate, and life expectancy and gross domestic product. Also, unidirectional causality relationship was determined from health expenditures to life expectancy. In addition, regression analysis revealed that health expenditures are the most important factor affecting the life expectancy for OECD countries. This result shows that in terms of development, providing a better life to individuals and society is possible when the health expenditure of countries is increased to a higher level.

JEL Classification : I10 , I15
DOI :10.26650/ISTJECON2019-0028   IUP :10.26650/ISTJECON2019-0028    Full Text (PDF)

İktisadi Göstergelerin Beklenen Yaşam Süresi Üzerindeki Etkileri: Panel Veri Analizi

Bayram Aydın

Bu çalışmada 21. yüzyılda OECD ülkelerinde beklenen yaşam süresi üzerinde etkili olan iktisadi göstergeler araştırılmıştır. Ülkelerin gelişmişlik düzeyleri ve beklenen yaşam süreleri incelendiğinde az gelişmiş ülkelerin gelişmiş ülkelere nazaran doğumda beklenen yaşam süresinde önemli ölçüde geride oldukları görülmektedir. Bu nedenle iktisadi olarak gelişmiş ülkelerde yaşam süresinin neden daha fazla olduğu ve bu durumu etkileyen iktisadi göstergelerin araştırılması büyük önem arz etmektedir. Literatürde yer alan çalışmalar değerlendirildiğinde konunun sahip olduğu öneme rağmen yaşam beklentisi ile iktisadi değişkenler arasındaki ilişkiyi inceleyen yeterli çalışmanın mevcut olmadığı görülmektedir. Bu çalışmada, 2000-2016 dönemindeki yıllık veriler ile Panel Regresyon Analizi ve Panel Granger Nedensellik Analizi yöntemleri kullanılmıştır. Çalışmada elde edilen bulgulara göre beklenen yaşam süresi ile işsizlik oranı ve beklenen yaşam süresi ile kişi başı gayri safi yurtiçi hasıla arasında çift yönlü nedensellik ayrıca sağlık harcamalarından beklenen yaşam süresine doğru tek yönlü nedensellik ilişkisi bulunduğu tespit edilmiştir. Ayrıca yapılan regresyon analizinde OECD ülkeleri üzerinde beklenen yaşam süresini etkileyen en önemli unsurun sağlık harcamaları olduğu sonucuna ulaşılmıştır. Bu sonuç; kalkınma açısından bireylere ve topluma daha uzun bir yaşam sağlayabilmenin, ülkelerin sağlık harcamalarını arttırmaları ile daha yukarı seviyelere çıkarılabileceğini göstermektedir.

JEL Classification : I10 , I15

EXTENDED ABSTRACT


Life expectancy at birth is now considered as an indicator of the social, environmental, and economic development of a country. The main aim of development is to provide a better life for individuals and society in terms of development. In order to achieve this goal, countries are trying to develop policies, and efforts are being made to improve the living conditions of individuals. In this respect, health is one of the basic elements of a better life. 

Each baby born in the world’s most developed 24 countries is expected to live longer than 75 years. This length of life is less than 50 years in 45 underdeveloped countries. Differences in life expectancy between countries can be due to many reasons. In underdeveloped countries, food products, clean water, environmental hygiene conditions, and housing differences can be defined as the most important factors affecting the life expectancy of individuals. On the other hand, the rapid growth in income, unemployment, health expenditures, medical and insurance sectors and the increase in costs lead to a further diversification of the factors affecting the life expectancy in developed countries. When the data is analyzed, it is clear that the citizens of developed countries live longer than the citizens of undeveloped countries. The most important reason of that is the importance given to health investments in developed countries. These investments not only enable people in the country to use high-tech products in health care, but also reduce the number of patients per health worker. In addition, the increase in accessibility to health institutions allows people to live more healthily, which leads to a longer life expectancy in that country.

In this study, economic indicators which have an effect on life expectancy were investigated for OECD countries in the early 21st century. When the development levels and life expectancy of the countries are examined, it is seen that underdeveloped countries are significantly behind compared to developed countries in terms of life expectancy at birth. For this reason, it is of great importance to find out why length of life is higher in economically developed countries and it very important to investigate the economic indicators affecting this situation. 

When the economic literature is examined, it can be seen that there are some studies on the factors affecting life expectancy, but there are not enough studies investigating the link between life expectancy and economic variables. Also, it is clear that no study has as yet been conducted between direct economic variables and life expectancy. Moreover, in economic literature, there is also a lack of studies which use OECD countries as a sample. Finally, there is no other study which uses econometric methods. In this study, Panel Regression Analysis and Granger Panel Causality Analysis were applied for the 2000-2016 period. These analyzes explain the regression and the causality relationship between the variables. According to the findings, bi-directional causality was determined between life expectancy and unemployment rate. Likewise, bi-directional causality was determined between life expectancy and gross domestic product. Also, unidirectional causality relationship was determined from health expenditures to life expectancy. In addition, regression analysis revealed that health expenditures are the most important factor affecting the life expectancy in OECD countries. In line with the regression result, it is seen that there is a positive and significant correlation between life expectancy and health expenditure. This result reveals the importance of investments in health services and the importance of health expenditures. Also, it shows that the life expectancy can be improved by investments and technologies in the health sector. In terms of development, providing a better life to individuals and society is possible when the health expenditure of the country increases.


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References

  • Barlow, R. & Vissandjee, B. (1999). Determinants of national life expectancy. Canadian Journal of Development Studies, 20(1), 9-29. https://doi.org/10.1080/02255189.1999.9668787 google scholar
  • Bilas, V., Franc, S. & Bosnjak, M. (2014). Determinant factors of Life expectancy at birth in the European Union countries. Collegium Antropologicum, 38(1), 1-9. google scholar
  • Delavari, S., Zandian, H., Rezaei, S., Moradinazar, M., Delavari, S., Saber, A. & Fallah, R. (2016). Life expectancy and its socioeconomic determinants in Iran. Electronic Physician, 8(10), 3062-3068. https://doi.org/10.19082/3062 google scholar
  • Desbordes, R. (2011). The non-linear effects of life expectancy on economic growth, Economics Letters, 112(1), 116-118. google scholar
  • Dünya Bankası, Sağlık. (2018). Doğuşta beklenen yaşam süresi. https://data.worldbank.org/indicator/ SP.DYN.LE00.IN?end=2015&locations=FR-DE-GR-JP-TR-GB-US&start=2008 google scholar
  • Halıcıoğlu F. (2011). Modelling life expectancy in Turkey, Economic Modelling, 28(5), 2075-2082. https://doi.org/10.1016/j.econmod.2011.05.002 google scholar
  • Hansen, C. W. (2013). Life expectancy and human capital: Evidence from the international epidemiological transition, Journal of Health Economics, 32(6), 1142-1152. https://doi. org/10.1016/j.jhealeco.2013.09.011 google scholar
  • Hickson, K. J. (2009). The contribution of increased life expectancy to economic development in twentieth century Japan. Journal of Asian Economics, 20(4), 489-504. google scholar
  • Istaiteyeh, R. M. S. (2017). Economic and social factors in shaping Jordan’s life expectancy: Empirical analysis (1990-2014). Advances in Management and Applied Economics, 7(5), 45-59. google scholar
  • Jaba, E., Balan, C. B. & Robu, I-B. (2014). The relationship between life expectancy at birth and health expenditures estimated by a cross-country and time-series analysis. Emerging Markets Queries in Finance and Business, 15, 108-114. google scholar
  • Linden, M. & Ray, D. (2017). Life expectancy effects of public and private health expenditures in OECD countries 1970–2012: Panel time series approach. Economic Analysis and Policy, 56, 101113. google scholar
  • Monsef, A. & Mehrjardi, A. S. (2015). Determinants of life expectancy: A panel data approach. Asian Economic and Financial Review, 5(11), 1251-1257. google scholar
  • Özkul, G. ve Örün, E. (2016). Girişimcilik ve inovasyonun ekonomik büyüme üzerindeki etkisi: Ampirik bir araştırma. Girişimcilik ve İnovasyon Yönetimi Dergisi, 5(2), 17-51. google scholar
  • Sede, P. & Ohemeng, W. (2015). Socio-economic determinants of life expectancy in Nigeria (1980 – 2011). Health Economics Review, 5(2), 1-11. google scholar
  • Sey, N. ve Aydın, B. (2019). Beklenen yaşam süresinin belirleyicileri: Japonya örneği üzerine ekonometrik bir inceleme. Uluslararası Ekonomi, İşletme ve Politika Dergisi, 3(2), 151-170. google scholar
  • Sufian, A. J. M. (2013). Life expectancy and its socioeconomic determinants – A discriminant analysis of national level data. International Journal of Humanities and Social Science, 3(12), 303-312. google scholar
  • Teker, D., Teker, S. ve Sönmez, M. (2012). Ekonomik değişkenlerin kadın ve erkeğin yaşam süresine etkisi. İşletme Araştırmaları Dergisi, 4(3), 118-126. google scholar
  • Timothy, P. O. (2018). Macroeconomic implications of low life expectancy in Sub-Saharan Africa nations: A panel technique approach. Social Sciences, 7(1), 7-12. google scholar
  • Tüylüoğlu, Ş. ve Tekin, M. (2009). Gelir düzeyi ve sağlık harcamalarının beklenen yaşam süresi ve bebek ölüm oranı üzerindeki etkileri. Çukurova Üniversitesi İİBF Dergisi, 13(1), 1-31. google scholar
  • Yerdelen Tatoğlu, F. (2012). Panel veri ekonometrisi (1.bs). İstanbul: Beta Yayınları. google scholar

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APA

Aydın, B. (2020). The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis. Istanbul Journal of Economics, 70(1), 163-181. https://doi.org/10.26650/ISTJECON2019-0028


AMA

Aydın B. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis. Istanbul Journal of Economics. 2020;70(1):163-181. https://doi.org/10.26650/ISTJECON2019-0028


ABNT

Aydın, B. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis. Istanbul Journal of Economics, [Publisher Location], v. 70, n. 1, p. 163-181, 2020.


Chicago: Author-Date Style

Aydın, Bayram,. 2020. “The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis.” Istanbul Journal of Economics 70, no. 1: 163-181. https://doi.org/10.26650/ISTJECON2019-0028


Chicago: Humanities Style

Aydın, Bayram,. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis.” Istanbul Journal of Economics 70, no. 1 (Sep. 2024): 163-181. https://doi.org/10.26650/ISTJECON2019-0028


Harvard: Australian Style

Aydın, B 2020, 'The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis', Istanbul Journal of Economics, vol. 70, no. 1, pp. 163-181, viewed 11 Sep. 2024, https://doi.org/10.26650/ISTJECON2019-0028


Harvard: Author-Date Style

Aydın, B. (2020) ‘The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis’, Istanbul Journal of Economics, 70(1), pp. 163-181. https://doi.org/10.26650/ISTJECON2019-0028 (11 Sep. 2024).


MLA

Aydın, Bayram,. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis.” Istanbul Journal of Economics, vol. 70, no. 1, 2020, pp. 163-181. [Database Container], https://doi.org/10.26650/ISTJECON2019-0028


Vancouver

Aydın B. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis. Istanbul Journal of Economics [Internet]. 11 Sep. 2024 [cited 11 Sep. 2024];70(1):163-181. Available from: https://doi.org/10.26650/ISTJECON2019-0028 doi: 10.26650/ISTJECON2019-0028


ISNAD

Aydın, Bayram. The Impact of Economic Indicators on Life Expectancy: A Panel Data Analysis”. Istanbul Journal of Economics 70/1 (Sep. 2024): 163-181. https://doi.org/10.26650/ISTJECON2019-0028



TIMELINE


Submitted13.12.2019
Accepted20.05.2020
Published Online30.06.2020

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