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Beyond Inequality Accounting: Marital Sorting and Couple Labor Supply

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  • Nico Pestel

Abstract

This paper examines to what extent non-random sorting of spouses affects earnings inequality while explicitly disentangling effects from increasing assortativeness in couple formation from changing patterns of couples’ labor supply behavior. Using German micro data, earnings distributions of observed and randomly matched couples are compared to each other. Earnings of hypothetical couples are adjusted for changes in hours worked given the differences in the household context using predictions based on a structural model of labor supply. The main finding is that the impact of marital sorting on earnings inequality has been underestimated in previous approaches. Predicting hours worked for hypothetical couples reveals a strong disequalizing impact of nonrandom sorting on inequality which is stable since the 1980s. Taking labor supply choices as given would suggest a smaller effect. This suggests that increasing earnings correlation among couples is to a considerable extent driven by changing patterns of labor market behavior rather than changes in the assortativeness in couple formation.

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  • Nico Pestel, 2014. "Beyond Inequality Accounting: Marital Sorting and Couple Labor Supply," SOEPpapers on Multidisciplinary Panel Data Research 698, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp698
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    Cited by:

    1. Pilar Gonalons-Pons & Christine R. Schwartz, 2017. "Trends in Economic Homogamy: Changes in Assortative Mating or the Division of Labor in Marriage?," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 985-1005, June.
    2. Andreas Peichl & Martin Ungerer, 2016. "Accounting for the spouse when measuring inequality of opportunity," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 47(3), pages 607-631, October.
    3. Weigert, Benjamin & Klemm, Marcus, 2015. "Composition matters! Wage inequality and the demographic and educational structure of the labor force in Germany," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112914, Verein für Socialpolitik / German Economic Association.
    4. Klemm, Marcus & Weigert, Benjamin, 2014. "Does composition matter? Wage inequality and the demographic and educational structure of the labor force in Gemany," Working Papers 06/2014, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    5. Handy, Christopher, 2014. "Assortative Mating and Intergenerational Persistence of Schooling and Earnings," MPRA Paper 63829, University Library of Munich, Germany.

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    More about this item

    Keywords

    earnings inequality; sorting; labor supply; Germany;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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