Examining divorce from the perspective of macroeconomic indicators in Iran

Document Type : Research Paper

Authors

1 Assistance professor, Department of Political science and economics, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, Iran

2 Assistant Professor, Department of Interdisciplinary Studies and Economic Development, Faculty of Economics, Institute for Humanities and Cultural Studies, Tehran, Iran

10.30495/jzvj.2024.31676.3992

Abstract

In examining the phenomenon of divorce, which on the one hand is the result of many events and macro indicators, and on the other hand, it is considered the cause of some other social phenomena. We are forced to reduce the dimension and focus on a certain area - to examine the behavior of the phenomenon more closely. In this article, focusing on the economic dimension of the changing behavior of divorce, in order to find the effect of the main economic indicators that have been emphasized in the theoretical literature on the behavior of divorce statistics in Iran. , aFor this purpose, after reviewing the research literature, four variables of inflation, gross domestic product (GDP), Gini coefficient and unemployment were selected and due to the nature of the data, the ARDL statistical method was used to fit the coefficients of the variables and determine the significance. According to the results of unemployment and GDP growth have a long-term and positive effect on divorce, but inflation and Gini coefficient, along with the previous two variables, have not had a significant effect on divorce. In expressing the reason for the lack of significance of these variables, it can be said that the behavior of each of the variables used in this study alone or together with other variables in the model is different. In other words, the two variables of Gini coefficient and inflation, along with the other two variables of the model, namely unemployment and GDP, are meaningless.

Keywords


  1.  References

    1. Niazi, M., Askari Kaviri, A., Almasi, E., Norowzi, M., & Nourani, E. Ultra- analysis of studies and researches about divorce relevant factors in Iran for the period of 1386-1396. Women’s Studies Sociological and Psychological. 2018 ;  15(4): 177–202. [Doi:10.22051/JWSPS.2018.8627.1124]

    2. Becker GS. A theory of competition among pressure groups for political influence. The quarterly journal of economics. 1983;98(3):371-400.

    3. Becker, G. S., E. M. Landes, and R. T. Michael. An Economic Analysis of Marital Instability. Journal of Political Economy. 1977 ;  85(6): 1141- 1188. [Doi: 10.3386/w0153]

    4. Becker, G. S. A Treatise on the Family. Cambridge: Harvard University Press: 1981 ;  104-110.

    5. Dargahi, H., Ghasemi, M., & Beiranvand, A. The Impacts of Economic and Social Factors on Divorce Rate in Iran with Emphasis on Business Cycles, Women’s Education and Employment. Journal of Economics and Modeling. 2019 ;  9(4): 95–120. [Doi: 20.1001.1.24765775.1397.9.4.4.5]

    6. Fallahi, M.A. & Deldar, F. Investigation of effective factors on Divorse in Iran’s provinces, with emphasis on the economic factors. Educative and Cultural Journal of Females and Families.2016 ;  10(34): 139-154.

    7. Hellerstein, J. K., & Morrill, M. S. Booms, Busts, and Divorce. The B.E. Journal of Economic Analysis & Policy. 2011 ;  11(1). [Doi: 10.2202/1935-1682.2914]

    8. Zarghar, F. Neshatdoost, H. Investigating the effective factors in the incidence of divorce in Falavarjan city.  Journal of Family Research; 2008: 3(3).

    9. Baranowski, P., & Sztaudynger, J. J. Marriage, divorce and economic growth. Annales. Etyka w Życiu Gospodarczym. 2019 ;  22(1): 53–67. [Doi:10.18778/1899-2226.22.1.03]

    10. Becker GS. A note on restaurant pricing and other examples of social influences on price. Journal of political economy. 1991;99(5):1109-16.

    11. . Amato, P.R. & Beattie, B. Does the unemployment rate affect the divorce rate? An analysis of state data 1960-2005. Social Science Research. 2011 ;  40(3): 705–715. [Doi: 10.1016/j.ssresearch.2010.12.012]

    12. Van Winkle Z, Leopold T. Family size and economic wellbeing following divorce: The United States in comparative perspective. Social Science Research. 2021;96:102541.

    13. Thadathil A, Sriram S. Divorce, families and adolescents in India: A review of research. Journal of Divorce & Remarriage. 2020;61(1):1-21.

    14. Alola, A, Abdulgaffar, O. A, Akadiri, S and Idowu Alola .M. The role of income and gender unemployment in divorce rate among the OECD countries. Journal of Labor and Society. 2020 ;  23(2): 75-86. [Dio: 10.1111/wusa.12460]           

    15. González-Val, R., & Marcén, M. Divorce and the business cycle: a cross-country analysis. Review of Economics of the Household. 2016 ;  15(3): 879–904. [Doi: 10.1007/S11150-016-9329-X]

    16. Roy S. Unemployment rate and divorce. Economic Record. 2011;87:56-79.
    17. Nasrollahi, Z., GhafariGolak, M., & Parva, A. A. Divorce and its Determinants: Emphasizing on Economic Factors. Women’s Studies Sociological and Psychological. 2013; 11(4): 165–186.[Doi:10.22051/JWSPS.2014.1471]

    18. daliri, H. Identifying the Effective Economic Variables on Divorce in Iran. Women's Studies Sociological and Psychological. 2019; 17(2): 35-62. [doi: 10.22051/jwsps.2019.27488.2050].

    19. Sadeghi; Rasool. Socio-Economic Factors Affecting Iranian Youth Divorce. Strategic Studies on Youth and Sports. 2016 ;  32: 189-205. In persion.
                 
    20. Eltejaei; Ebrahim. Inflation Uncertainty, Relative Price Dispersion and Economic Growth in Iran. Quarterly Journal of Applied Economics Studies.2012 ;  1. 99-136. [Doi: 20.1001.1.23222530.1391.1.1.5.7]

    21. Ghaemi Asl, M., Nasr Isfahani, M., Shahparast, E., Tavassoli Abdolabadi, N. Analysis of Short-term and Long-term Economic Variables on Marriage and Divorce Trends with an Emphasis on Sexual and Educational Control Channels. Women in Development & Politics, 2019; 17(3): 487-511. [doi: 10.22059/jwdp.2020.289345.1007715]

    22. Banihashemi, F. S., Alimondegari, M., Gholami-Fesharaki, M. Demographic, Economic and Social Factors Related to the Marital Status of Divorced in Iran: A Multi-level Analysis. Journal of Social Continuity and Change (JSCC), 2022; (): -. doi: 10.22034/jscc.2022.18651.1

    23. Pesaran, M. Hashem, Yongcheol Shin, and Ron P. Smith. Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association .1999 ; 94(446: 621–34. [doi: /10.2307/2670182].

      Pesaran; M. Hashem, Shin; Yongcheol & J. Smith; Richard. Bounds testing approaches to the analysis of level relationships. Applied econometric. 2001 ;  16(3): 289-326. [Doi: 10.1002/jae.616].