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Joint Leisure Before and After Retirement : a double Regression Discontinuity Approach

Author

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  • Elena Stancanelli

    () (CES - Centre d'économie de la Sorbonne - CNRS - Centre National de la Recherche Scientifique - UP1 - Université Panthéon-Sorbonne, PSE - Paris School of Economics)

  • Arthur Van Soest

    () (Tilburg University [Tilburg] - Netspar)

Abstract

The economic litterature on retirement argues that individuals in a couple tend to retire at a choice time because of externalities in leisure. Ealier studies dit not investigate the extent to which partners actually spend more leisure time together upon retiring. Exploiting the law on early retirement age in France, we use a regression discontinuity approach to identify the causal effect of retirement on hours of leisure, separate and together, of the man and woman in a couple. We use a sample of couples drawn from a French Time Use Survey for the analysis. Using four different definitions of joint leisure, we conclude that generally both separate and joint leisure hours of partners increase significantly upon own retirement. In particular, the hours of leisure spent together by the couple increase on average by about an hour and a half per day upon wife's retirement and by less than an hour upon husband's retirement. The positive effect of partners' retirement on joint leisure is close in size to that on separate leisure or house work hours of partners.

Suggested Citation

  • Elena Stancanelli & Arthur Van Soest, 2012. "Joint Leisure Before and After Retirement : a double Regression Discontinuity Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00768901, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00768901
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00768901
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    References listed on IDEAS

    as
    1. Erich Battistin & Agar Brugiavini & Enrico Rettore & Guglielmo Weber, 2009. "The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 99(5), pages 2209-2226, December.
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    Citations

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    Cited by:

    1. Theodore Figinski & David Neumark, 2015. "Does Eliminating the Earnings Test Increase the Incidence of Low Income Among Older Women?," NBER Working Papers 21601, National Bureau of Economic Research, Inc.
    2. Stancanelli, Elena G. F., 2012. "Spouses' Retirement and Hours Outcomes: Evidence from Twofold Regression Discontinuity with Differences-in-Differences," IZA Discussion Papers 6791, Institute for the Study of Labor (IZA).
    3. Peter Eibich, 2014. "Understanding the Effect of Retirement on Health Using Regression Discontinuity Design," SOEPpapers on Multidisciplinary Panel Data Research 669, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Elena Stancanelli, 2012. "Spouses' Retirement and Hours of Work Outcomes: Evidence from Twofold Regression Discontinuity," Documents de travail du Centre d'Economie de la Sorbonne 12074, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Marco Bertoni & Giorgio Brunello, 2014. "Pappa Ante Portas: The Retired Husband Syndrome in Japan," "Marco Fanno" Working Papers 0182, Dipartimento di Scienze Economiche "Marco Fanno".
    6. repec:eee:labeco:v:46:y:2017:i:c:p:177-188 is not listed on IDEAS
    7. repec:eee:jhecon:v:54:y:2017:i:c:p:66-78 is not listed on IDEAS
    8. Bertoni, Marco & Brunello, Giorgio, 2017. "Pappa Ante Portas: The effect of the husband's retirement on the wife's mental health in Japan," Social Science & Medicine, Elsevier, vol. 175(C), pages 135-142.
    9. Eibich, Peter, 2015. "Understanding the effect of retirement on health: Mechanisms and heterogeneity," Journal of Health Economics, Elsevier, vol. 43(C), pages 1-12.

    More about this item

    Keywords

    Discontinuité; retraites; temps de loisir; Regression discontinuity; retirement; leisure;

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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