Construction of the Earnings and Benefits File (Ebf) for Use with the Health and Retirement Survey

58 Pages Posted: 1 Aug 2000 Last revised: 3 Oct 2010

See all articles by Olivia S. Mitchell

Olivia S. Mitchell

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

Jan Olson

Government of the United Kingdom - Social Security

Thomas L. Steinmeier

Texas Tech University - Department of Economics and Geography

Date Written: August 1996

Abstract

Analysts using the Health and Retirement Survey (HRS) often require information on earnings, labor market attachment, and social security benefits in order to better understand the factors affecting retirement and well-being at older ages. To this end, several derived variables were constructed and documented in the Earnings and Benefits File (EBF) described here. The EBF provides a set of summary earnings, employment, and social security wealth measures for a subset of HRS respondents in Wave 1 of the survey, for whom administrative records are available. The EBF, a restricted data file, is available from the University of Michigan's Institute for Social Research for matching only with versions of the HRS containing geographic detail no finer than the Census Division level. Interested users should contact hrsquest@umich.edu by email for further information on access to the data.

Suggested Citation

Mitchell, Olivia S. and Olson, Jan and Steinmeier, Thomas L., Construction of the Earnings and Benefits File (Ebf) for Use with the Health and Retirement Survey (August 1996). NBER Working Paper No. w5707, Available at SSRN: https://ssrn.com/abstract=225577

Olivia S. Mitchell (Contact Author)

University of Pennsylvania - The Wharton School ( email )

Philadelphia, PA 19104-6365
United States

University of Pennsylvania - The Wharton School, Pension Research Council ( email )

3302 Steinberg Hall-Dietrich Hall
3620 Locust Walk
Philadelphia, PA 19104-6302
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Jan Olson

Government of the United Kingdom - Social Security

500 E Street, SW
ITC Building, 9th Floor
Washington, DC 20254
United States

Thomas L. Steinmeier

Texas Tech University - Department of Economics and Geography ( email )

Lubbock, TX 79409-2101
United States
806-742-2201 (Phone)

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