Employment and the Nonlinear Relationship of Household Income on Divorce in Iran Using the Quasi-Panel Data Logit Model

In this paper, the effect of income distribution on divorce in Iran has been investigated using micro data of Household Expenditure and Income Survey of urban households in ۲۰۱۴ and applying the Quasi-panel data method. Primary data included ۱۸۸۸۵ urban households. At first, sub-section of the data were selected including divorced and married male and female (۱۶۵۰۳ Households) and clustered in provinces. The data was then analyzed based on the initial and categorized data. In the next step, using the Deaton (۱۹۸۵) Quasi-panel data, Logit model is estimated with the Maximum likelihood method. The results of first estimation indicate that household per capita income reduces the probability of divorce, and the result of the secondary model (the initial model with including the square of per capita income) indicates a U shape effect of per capita income on the probability of divorce. That is, the probability of divorce in the two groups of income (low and high) is higher than the middle income holders. Threshold per capita income is estimated equivalent to ۱۲۷۵ thousand Toman on average and monthly for urban households or ۵۱۰۰۰۰۰T in a month for a family of four in ۲۰۱۴. Also, having job reduces the probability of divorce. Therefore, unemployment reduction policies and supportive policies to reduce income inequality in society will be a way to reduce the probability of divorce.

کلیدواژه ها:

Divorce ، Household Per Capita Income ، Logit Method ، Quasi-Panel Data ، Micro Data of Household Expenditure and Income Survey