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Retirement Research Using the Health and Retirement Survey


Alan L. Gustman


Dartmouth College - Department of Economics; National Bureau of Economic Research (NBER)

Olivia S. Mitchell


University of Pennsylvania - The Wharton School; National Bureau of Economic Research (NBER)

Thomas L. Steinmeier


Texas Tech University - Department of Economics and Geography


JOURNAL OF HUMAN RESOURCES, Vol. 30, July 1994

Abstract:     
This paper highlights unanswered research questions in the economics of retirement, and shows how these issues can be addressed using the new Health and Retirement Survey (HRS). Unique features of the survey are described including administrative records on earnings and social security benefits and employer provided data on pensions and health insurance. Also collected are indicators of retirement plans, health status, family structure, income, wealth and employer policies affecting job opportunities and constraints. Data from the first wave of the HRS are used to analyze retirement outcomes and constraints shaping retirement behavior.

JEL Classification: J14, J26, J32

Accepted Paper Series


Date posted: May 20, 1998  

Suggested Citation

Gustman, Alan L., Mitchell, Olivia S. and Steinmeier, Thomas L., Retirement Research Using the Health and Retirement Survey. JOURNAL OF HUMAN RESOURCES, Vol. 30, July 1994. Available at SSRN: http://ssrn.com/abstract=3115

Contact Information

Alan L. Gustman (Contact Author)
Dartmouth College - Department of Economics ( email )
6106 Rockefeller Center
Hanover, NH 03755
United States
603-646-2641 (Phone)
603-646-2122 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Olivia S. Mitchell
University of Pennsylvania - The Wharton School ( email )
Philadelphia, PA 19104-6365
United States

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Thomas Steinmeier
Texas Tech University - Department of Economics and Geography ( email )
Lubbock, TX 79409-2101
United States
806-742-2201 (Phone)
Feedback to SSRN (Beta)


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