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Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design

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  • Daniel Burkhard

Abstract

Abstract Standard economic models predict that individuals smooth consumption over the life cycle. In contrast, there exists controversial empirical evidence showing that consumption declines at retirement. This paper investigates whether there is evidence for this so-called Retirement Consumption Puzzle in Switzerland. Baseline regression discontinuity estimates of average treatment effects are complemented by quantile treatment effects, where all estimates take the potential endogeneity of retirement into account. The findings suggest that disposable income significantly decreases after retirement, although there is substantial treatment effect heterogeneity. The reduction in income transmits to a negative but considerably less pronounced effect on overall consumption expenditures, indicating that households simultaneously adjust their savings. The results further show that food consumption at home is not or even positively affected by retirement, whereas expenditures in restaurants and hotels significantly decline.

Suggested Citation

  • Daniel Burkhard, 2015. "Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design," Diskussionsschriften dp1512, Universitaet Bern, Departement Volkswirtschaft.
  • Handle: RePEc:ube:dpvwib:dp1512
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    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.
    2. Frandsen, Brigham R. & Frölich, Markus & Melly, Blaise, 2012. "Quantile treatment effects in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 168(2), pages 382-395.
    3. Midori Wakabayashi, 2008. "The retirement consumption puzzle in Japan," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(4), pages 983-1005, October.
    4. Banks, James & Blundell, Richard & Tanner, Sarah, 1998. "Is There a Retirement-Savings Puzzle?," American Economic Review, American Economic Association, vol. 88(4), pages 769-788, September.
    5. Fisher, Jonathan D. & Johnson, David S. & Marchand, Joseph & Smeeding, Timothy M. & Torrey, Barbara Boyle, 2008. "The retirement consumption conundrum: Evidence from a consumption survey," Economics Letters, Elsevier, vol. 99(3), pages 482-485, June.
    6. Hamermesh, Daniel S, 1984. "Consumption during Retirement: The Missing Link in the Life Cycle," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 1-7, February.
    7. Elena Stancanelli & Arthur Van Soest, 2012. "Retirement and Home Production: A Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 102(3), pages 600-605, May.
    8. Schwerdt, Guido, 2005. "Why does consumption fall at retirement? Evidence from Germany," Economics Letters, Elsevier, vol. 89(3), pages 300-305, December.
    9. Martin Browning & Annamaria Lusardi, 1996. "Household Saving: Micro Theories and Micro Facts," Journal of Economic Literature, American Economic Association, vol. 34(4), pages 1797-1855, December.
    10. John Ameriks & Andrew Caplin & John Leahy, 2007. "Retirement Consumption: Insights from a Survey," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 265-274, May.
    11. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    12. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    13. Steven J. Haider & Melvin Stephens, 2007. "Is There a Retirement-Consumption Puzzle? Evidence Using Subjective Retirement Expectations," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 247-264, May.
    14. Emma Aguila & Orazio Attanasio & Costas Meghir, 2011. "Changes in Consumption at Retirement: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1094-1099, August.
    15. Mark Aguiar & Erik Hurst, 2005. "Consumption versus Expenditure," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 919-948, October.
    16. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    17. Jonathan Fisher & Joseph Marchand, 2014. "Does the retirement consumption puzzle differ across the distribution?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 279-296, June.
    18. Erik Hurst, 2008. "The Retirement of a Consumption Puzzle," NBER Working Papers 13789, National Bureau of Economic Research, Inc.
    19. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    20. Sarah Smith, 2006. "The Retirement-Consumption Puzzle and Involuntary Early Retirement: Evidence from the British Household Panel Survey," Economic Journal, Royal Economic Society, vol. 116(510), pages 130-148, March.
    21. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
    22. B. Douglas Bernheim & Jonathan Skinner & Steven Weinberg, 2001. "What Accounts for the Variation in Retirement Wealth among U.S. Households?," American Economic Review, American Economic Association, vol. 91(4), pages 832-857, September.
    23. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    24. Raffaele Miniaci & Chiara Monfardini & Guglielmo Weber, 2010. "How does consumption change upon retirement?," Empirical Economics, Springer, vol. 38(2), pages 257-280, April.
    25. Yingying Dong, 2015. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 422-446, April.
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    More about this item

    Keywords

    Retirement Consumption Puzzle; Consumption Smoothing; Household Expenditure; Regression Discontinuity; Quantile Treatment Effect;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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