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DOI :10.26650/B/SS10.2023.001.06   IUP :10.26650/B/SS10.2023.001.06    Full Text (PDF)

Comparison of Expenditures and Number of Transactions of Total Credit and Debit Cards in Pre and During Covid-19 in Turkey

Sinan Demirezen

The Covid-19 pandemic, which took hold of all the world in a short while, emerged with the first case recorded in China. After a time, the explanations of China World Health Organization announced this disease as an epidemic stemming from a virus with an unknown point of origin despite several rumors. The Organization had to acknowledge the disease as a pandemic due to the spreading of the virus being out of control soon after. On the other hand, Governments took stringent precautions to minimize the impact of the virus during this period. The most important of these was the lockdown, the obligation to wear a face mask, paying attention to personal hygiene, and banning the comings and goings to the countries unless necessary, keeping the quarantine period of patients under control. On the other hand, online education, working from home, and flexible working were other precautions methods. During the lockdown, people who had to spend time in their homes changed their nutrition habits, sleeping routines, shopping, and so on. Expenditures of the people were claimed to increase as general opinion in this period. For this purpose, the expenditures (and the number of transactions) were analyzed whether the same or different pre and during Covid-19 in terms of the credit and debit card expenditures and the number of credit and debit card transactions in this paper. The null hypothesis that these cards' expenditures (the number of transactions) during Covid-19 are not different from the pre-Covid-19 is tested against the alternative hypothesis that the expenditures (the number of transactions) are different. For the hypothesis test, the Man-Witney U test was employed because the assumptions of the two-independent t-test were violated. As a result of the analysis, it is inferred from the rejected null hypothesis that both the expenditures and the number of card transactions during Covid-19 are statistically different from the expenditures and the transactions of pre-Covid-19.  



References

  • Corder, G. W., & Foreman, D. I. (2014). Non-parametric statistics: A step-by-step approach. John Wiley & Sons. google scholar
  • Elleby, C., Dominguez, I. P., Adenauer, M., & Genovese, G. (2020). Impacts of the COVID-19 pandemic on the global agricultural markets. Environmental and Resource Economics, 76(4), 1067-1079. google scholar
  • Fairlie, R., & Fossen, F. M. (2021). The early impacts of the COVID-19 pandemic on business sales. Small Business Economics, 1-12. google scholar
  • Hollander, M., Wolfe, D. A., & Chicken, E. (2013). Non-parametric statistical methods (Vol. 751). John Wiley & Sons. google scholar
  • Kiyota, K. (2022). The COVID-19 pandemic and the world trade network. Journal of Asian Economics, 78, 101419. google scholar
  • Kumar, A., Singh, P., Raizada, P., & Hussain, C. M. (2022). Impact of COVID-19 on greenhouse gas emissions: A critical review. Science of The Total Environment, 806, 150349. google scholar
  • Lee, S., Schmidt-Klau, D., & Verick, S. (2020). The labor market impacts of the COVID-19: a global perspective. The Indian Journal of Labour Economics, 63(1), 11-15. google scholar
  • Livingston, E. H. (2004). Who was the student, and why do we care so much about his t-test? Journal of Surgical Research, 118(1), 58-65. google scholar
  • Maneenop, S., & Kotcharin, S. (2020). The impacts of COVID-19 on the global airline industry: An event study approach. Journal of air transport management, 89, 101920. google scholar
  • Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics, 50-60. google scholar
  • Pham, T. D., Dwyer, L., Su, J. J., & Ngo, T. (2021). COVID-19 impacts of inbound tourism on Australian economy. Annals of Tourism Research, 88, 103179. google scholar
  • Rice, J. A. (2006). Mathematical statistics and data analysis. Cengage Learning, 3rd edition. google scholar
  • Sheskin, D. J. (2004). Handbook of Parametric and Non-parametric Statistical Procedures 3 edition RC Press. Boca Raton, FL. google scholar
  • Tanaka, S. (2022). Economic impacts of SARS/MERS/COVID-19 in Asian countries. Asian Economic Policy Review, 17(1), 41-61. google scholar
  • Urban, R. C., & Nakada, L. Y. K. (2021). COVID-19 pandemic: Solid waste and environmental impacts in Brazil. Science of the Total Environment, 755, 142471. google scholar
  • Webb, A., McQuaid, R., & Rand, S. (2020). Employment in the informal economy: implications of the COVID-19 pandemic. International Journal of Sociology and Social Policy. google scholar
  • WHO, https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/, Accessed on 18.11.2021 google scholar
  • WHO, https://www.who.int/health-topics/coronavirus#tab=tab_1, Accessed on 18.11.2021. google scholar


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