A distribution-sensitive examination of the gender wage gap in Germany

Selezneva, Ekaterina; Kerm, Philippe Van

doi:10.1007/s10888-016-9320-z

Cited by 9 publications

(2 citation statements)

References 39 publications

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“…As conditional distributions, we use in addition to the normal distribution of log incomes, the Singh-Maddala distribution which has been shown to provide a good fit to the SOEP income data (Biewen and Jenkins 2005;Selezneva and Van Kerm 2016). For the two parameters of the normal distribution, we thus have…”

Section: A Distributional Regression Model For Incomementioning

confidence: 99%

Vulnerability to poverty revisited: Flexible modeling and better predictive performance

et al. 2018

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This paper analyzes several modifications to improve a simple measure of vulnerability as expected poverty. Firstly, in order to model income, we apply distributional regression relating potentially each parameter of the conditional income distribution to the covariates. Secondly, we determine the vulnerability cutoff endogenously instead of defining a household as vulnerable if its probability of being poor in the next period is larger than 0.5. For this purpose, we employ the receiver operating characteristic curve that is able to consider prerequisites according to a particular targeting mechanism. Using long-term panel data from Germany, we build both mean and distributional regression models with the established 0.5 probability cutoff and our vulnerability cutoff. We find that our new cutoff considerably increases predictive performance. Placing the income regression model into the distributional regression framework does not improve predictions further but has the advantage of a coherent model where parameters are estimated simultaneously replacing the original three step estimation approach.

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Section: A Distributional Regression Model For Incomementioning

confidence: 99%

Vulnerability to poverty revisited: Flexible modeling and better predictive performance

et al. 2018

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“…Among the few researchers that raised this question and dealt with it empirically, Papps (2010) found that during a period in which wage inequality in New Zealand increased and then decreased, within-gender wage inequality followed similar trends, while the male and female wage distributions converged to each other. Selezneva and Van Kerm (2016) showed that accounting for gender-specific wage inequality makes a considerable difference when comparing gender wage gaps in Eastern and Western Germany.…”

Section: Introductionmentioning

confidence: 99%

What drives the convergence in male and female wage distributions in Israel? A Shapley decomposition approach

Kimhi

Hanuka-Taflia

2019

J Econ Inequal

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We examine the drivers of the convergence of the hourly wage distributions of males and females in Israel between 1995 and 2008. Israel is an interesting case study in this respect, since it experienced declining wage inequality in recent decades, as opposed to most developed countries. We found convergence of both average wages and wage inequality. In particular, average wages increased faster for females than for males, while wage inequality declined faster for males than for females. We decomposed these distributional changes into the contributions of worker and job attributes, the returns on these attributes and residuals using a Shapley approach applied to counterfactual simulated wage distributions. We found that most of the increase in male wages was due to the increased wage gaps in favor of specific occupations and industries, while female wages increased mostly due to the increase in the returns to experience. The decline in wage inequality was driven mostly by changes in attributes, the decline in the returns to education, and the catching-up of immigrant workers, and each of these components was stronger for males than for females. We conclude that the convergence of the male and female wage distributions was due to both changes in the supply of labor, especially among females, and changes in the demand for labor leading to changes in the returns to various skills.

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Gender Gap Assessment and Inequality Decomposition

Costa

2023

Springer Proceedings in Mathematics &Amp; Statistics

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A distribution-sensitive examination of the gender wage gap in Germany

Cited by 9 publications

References 39 publications

Vulnerability to poverty revisited: Flexible modeling and better predictive performance

Vulnerability to poverty revisited: Flexible modeling and better predictive performance

What drives the convergence in male and female wage distributions in Israel? A Shapley decomposition approach

Gender Gap Assessment and Inequality Decomposition

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