Examining divorce from the perspective of macroeconomic indicators in Iran

Subject Areas : Quarterly Journal of Woman and Society

Mahdi Goldani ¹ (Assistance professor, Department of Political science and economics, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, Iran)
Leila Sadat Zafaranchi ² (Assistant Professor, Department of Interdisciplinary Studies and Economic Development, Faculty of Economics, Institute for Humanities and Cultural Studies, Tehran, Iran)

Received: 2023-03-05 Accepted : 2024-04-25 Published : 2024-04-20

Keywords: Gini Coefficient, ARDL, Divorce, Inflation, Unemployment,

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.

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