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

Arthur Van Soest, Arie Kapteyn, Julie Zissimopoulos

Published Mar 15, 2006

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.

Document Details

  • Availability: Web-Only
  • Year: 2006
  • Pages: 33
  • Document Number: WR-345

Citation

RAND Style Manual
Van Soest, Arthur, Arie Kapteyn, and Julie Zissimopoulos, Using Stated Preferences Data to Analyze Preferences for Full and Partial Retirement, RAND Corporation, WR-345, 2006. As of September 14, 2024: https://www.rand.org/pubs/working_papers/WR345.html
Chicago Manual of Style
Van Soest, Arthur, Arie Kapteyn, and Julie Zissimopoulos, Using Stated Preferences Data to Analyze Preferences for Full and Partial Retirement. Santa Monica, CA: RAND Corporation, 2006. https://www.rand.org/pubs/working_papers/WR345.html.
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This research was supported by the National Institute on Aging and was conducted by RAND Labor and Population.

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