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The Gender Gap in Housing Returns

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  • Paul Goldsmith-Pinkham
  • Kelly Shue

Abstract

Housing wealth represents the dominant form of savings for American households. Using detailed data on housing transactions across the United States since 1991, we find that single men earn 1.5 percentage points higher unlevered returns per year on housing relative to single women. The gender gap grows significantly larger after accounting for mortgage borrowing: men earn 7.9 percentage points higher levered returns per year relative to women. Approximately 45% of the gap in housing returns can be explained by gender differences in the location and timing of transactions. The remaining gap arises primarily from gender differences in execution prices: data on repeat sales reveal that women buy the same property for approximately 2% more and sell for 2% less. Women experience worse execution prices because of differences in the choice of initial list price and negotiated discount relative to the list price. Gender differences in upgrade and maintenance rates, and preferences for housing characteristics and listing agents appear to be less important factors. Overall, the gender gap in housing returns is economically large and can explain 30% of the gender gap in wealth accumulation at retirement.

Suggested Citation

  • Paul Goldsmith-Pinkham & Kelly Shue, 2020. "The Gender Gap in Housing Returns," NBER Working Papers 26914, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26914
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    Cited by:

    1. Christian A. L. Hilber & Tracy M. Turner, 2024. "Land use regulation, homeownership and wealth inequality," CEP Discussion Papers dp2003, Centre for Economic Performance, LSE.
    2. Ran Gu & Cameron Peng & Weilong Zhang, 2021. "The gender gap in household bargaining power: a portfolio-choice approach," IFS Working Papers W21/11, Institute for Fiscal Studies.
    3. William N Goetzmann & Christophe Spaenjers & Stijn Van Nieuwerburgh, 2021. "Real and Private-Value Assets [Gendered prices]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3497-3526.
    4. Madeira, Carlos, 2021. "The potential impact of financial portability measures on mortgage refinancing: Evidence from Chile," Journal of International Money and Finance, Elsevier, vol. 117(C).
    5. Barbara Biasi & Heather Sarsons, 2020. "Flexible Wages, Bargaining, and the Gender Gap," NBER Working Papers 27894, National Bureau of Economic Research, Inc.
    6. Karla Cordova & Markus M. Grabka & Eva Sierminska, 2022. "Pension Wealth and the Gender Wealth Gap," European Journal of Population, Springer;European Association for Population Studies, vol. 38(4), pages 755-810, October.
    7. Dragana Cvijanović & Christophe Spaenjers, 2021. "“We’ll Always Have Paris”: Out-of-Country Buyers in the Housing Market," Management Science, INFORMS, vol. 67(7), pages 4120-4138, July.
    8. Wong, Francis & Kermani, Amir, 2022. "Racial Disparities in Housing Returns," VfS Annual Conference 2022 (Basel): Big Data in Economics 264099, Verein für Socialpolitik / German Economic Association.

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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G4 - Financial Economics - - Behavioral Finance
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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