Abstract
The heterogeneous economic results of divorce have received limited attention. The current study analyzes such consequences from an intersectionality perspective, where heterogeneity is expressed not only in gender groups, but also in the locations of women and men on the earnings distribution scale. We also examine whether remarriage and welfare support have differing effects on income across these groups. The study uses a unique dataset in Israel that merges administrative data from the tax authorities (employment income and pensions) with the National Insurance Institute database (socio-demographic information and allowances). Applying two-level (“mixed”) panel models combined with quantile regressions, we investigate the post-divorce income of women and men by tertile, as well as in the top percentile of each gender group. Results show that the most vulnerable group among men is low income, while the most immune group of men is very high income. For women, however, differences between classes are small; across the board, women’s post-divorce income decreases by at least a third. Thus, while the effect of divorce on men’s income depends upon their earnings level, its effect on women’s income is negative even in the top percentile. Remarriage has a differential effect on income based on location on the income distribution scale only for men. The welfare policy effect on income is gendered: regardless of earnings group, allowances are negatively related to income for women and positively related for men.
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Notes
A minimum subsistence allowance provided to poor residents who cannot obtain sufficient income, based on means and employment tests (NII, 2020).
A modest child support allowance afforded to divorced parents when support is not paid by the debtor (usually the father), provided the custodial parent passes a rigid means test. The NII assumes responsibility for collection of payment from the debtor (Herbst & Benjamin, 2012).
As mentioned, Israel has a relatively high rate of large families and a high birth rate. It is therefore necessary to use an equivalence scale adapted to its special situation. The scale we used is based on the actual food expenditure of families of different sizes in Israel, and it is examined and validated repeatedly over time (Kaplan & Herbst, 2015).
For simplicity’s sake, and since our N allows it, we used a different technique from the classic quantile regression (Koenker and Bassett 1978), estimating income at the conditional mean of each quantile rather than the conditional quantile of income.
Our decision to use a quantile regression is also supported at the methodological level. As income distribution is highly skewed, use of an average, even after logit transformation, may disregard important information on differences between earnings groups. Using the mean income thus might not be a sufficient indicator representing the whole income distribution.
Findings for the null models, that is, the unconditional growth models (Singer and Willett 2003), are presented in Appendices A (women) and B (men). As shown, in most cases, regardless of gender and earnings group, the proportion of variance in the model which is due to differences between individuals is between 50 and 60%.
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Endeweld, M., Herbst-Debby, A. & Kaplan, A. Do the Privileged Always Win? Economic Consequences of Divorce by Income and Gender Groups. Soc Indic Res 159, 77–100 (2022). https://doi.org/10.1007/s11205-021-02733-4
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DOI: https://doi.org/10.1007/s11205-021-02733-4