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Using Stated Preferences Data to Analyze Preferences for Full and Partial Retirement

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  • Arthur van Soest
  • Arie Kapteyn
  • Julie Zissimopoulos

Abstract

Structural models explaining retirement decisions of individuals or households in an inter-temporal setting are typically hard to estimate using data on actual retirement decisions, because choice sets are complicated and uncertain and for a large part unobserved by the researcher. This paper describes an experiment in which both perceived retirement opportunities and preferences for retirement are measured. For the latter, respondents evaluate how attractive they find a number of hypothetical, simplified, retirement trajectories involving early retirement, late retirement, and gradual retirement, each with its own corresponding income path. The questions were fielded in the Dutch CentERpanel. The answers are used to estimate a stylized structural life-cycle model of retirement preferences. The results suggest that, for example, many respondents could be convinced to work part-time after age 65 before retiring completely at age 70 for a reasonable financial compensation. Simulations combining the information on perceived opportunities with estimated preferences also illustrate the importance of employer imposed restrictions on retirement and the scope for increasing labor force participation of the elderly by creating opportunities for gradual retirement.

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Bibliographic Info

Paper provided by Netherlands Central Bank, Research Department in its series DNB Working Papers with number 081.

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Date of creation: Jan 2006
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Handle: RePEc:dnb:dnbwpp:081

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Keywords: Replacement rates; Ratings; Gradual retirement;

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  1. Stock, James H & Wise, David A, 1990. "Pensions, the Option Value of Work, and Retirement," Econometrica, Econometric Society, vol. 58(5), pages 1151-80, September.
  2. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, November.
  3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
  4. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.
  5. Barsky, Robert B, et al, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, MIT Press, vol. 112(2), pages 537-79, May.
  6. Hurd, Michael D, 1990. "Research on the Elderly: Economic Status, Retirement, and Consumption and Saving," Journal of Economic Literature, American Economic Association, vol. 28(2), pages 565-637, June.
  7. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
  8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
  9. Lumsdaine, Robin L. & Mitchell, Olivia S., 1999. "New developments in the economic analysis of retirement," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 49, pages 3261-3307 Elsevier.
  10. Michael D. Hurd, 1993. "The Effect of Labor Market Rigidities on the Labor Force Behavior of Older Workers," NBER Working Papers 4462, National Bureau of Economic Research, Inc.
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Cited by:
  1. Andries de Grip & Didier Fouarge & Raymond Montizaan, 2013. "How Sensitive are Individual Retirement Expectations to Raising the Retirement Age?," De Economist, Springer, vol. 161(3), pages 225-251, September.
  2. Tunga Kantarci & Arthur Soest, 2008. "Gradual Retirement: Preferences and Limitations," De Economist, Springer, vol. 156(2), pages 113-144, June.
  3. Vonkova, H., 2011. "The use of subjective survey data: Anchorine vignettes and stated preference methods," Open Access publications from Tilburg University urn:nbn:nl:ui:12-4643288, Tilburg University.
  4. Frank van Erp & Paul de Hek, 2009. "Analyzing labour supply of elderly people: a life-cycle approach," CPB Document 179, CPB Netherlands Bureau for Economic Policy Analysis.
  5. Allard Bruinshoofd & Sybille Grob, 2006. "Do changes in pension incentives affect retirement? A stated preferences approach to Dutch retirement consideration," DNB Working Papers 115, Netherlands Central Bank, Research Department.
  6. Voňková, Hana & van Soest, Arthur, 2009. "How Sensitive Are Retirement Decisions to Financial Incentives: A Stated Preference Analysis," IZA Discussion Papers 4505, Institute for the Study of Labor (IZA).
  7. Andre Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, uncertainty and discrete choice models," Marketing Letters, Springer, vol. 19(3), pages 269-285, December.
    • André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," THEMA Working Papers 2008-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

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