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Intra-Couple Wealth Inequality: What’s Socio-Demographics Got to Do with it?

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  • Miriam Rehm

    (University of Duisburg-Essen)

  • Alyssa Schneebaum

    (Vienna University of Economics and Business)

  • Barbara Schuster

    (The New School for Social Research)

Abstract

Existing literature shows that on average and across countries, men have higher levels of wealth than women. However, very little is known about the gender-specific wealth gap within couples. This paper studies this phenomenon for the first time in Austria. The particular focus of the paper is on the relationship between the socio-demographic characteristics of the couple and the couple’s gender wealth gap. We focus on how age, education, marital status, fertility, migratory background, and the gender of the respondent are related to the wealth gap within a couple. In both bivariate and multivariate analyses, we find evidence in support of the hypothesis that bargaining power plays an important role in the intra-couple gender wealth gap in Austria. Immigrant women living in a couple with native men, and, among natives, couples in which the man is much older on average, have larger gender wealth gaps. Furthermore, couples in which the woman is the “financially most knowledgeable person” in the household have consistently lower gender wealth gaps.

Suggested Citation

  • Miriam Rehm & Alyssa Schneebaum & Barbara Schuster, 2022. "Intra-Couple Wealth Inequality: What’s Socio-Demographics Got to Do with it?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(4), pages 681-720, October.
  • Handle: RePEc:spr:eurpop:v:38:y:2022:i:4:d:10.1007_s10680-022-09633-4
    DOI: 10.1007/s10680-022-09633-4
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    Cited by:

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    2. Ines Heck & Anna Hornykewycz & Jakob Kapeller & Rafael Wildauer, 2024. "Vermögensverteilung in Österreich: eine Analyse auf Basis des HFCS 2021/22," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 255, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.

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