Using the Health and Retirement Study to Analyze Housing Decisions, Housing Values, and Housing Prices

10 Pages Posted: 22 Sep 2010

See all articles by Hugo Benítez-Silva

Hugo Benítez-Silva

affiliation not provided to SSRN

Selcuk Eren

Bard College - Levy Economics Institute

Frank Heiland

City University of New York - School of Public Affairs

Sergi Jimenez-Martin

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences

Date Written: September 1, 2010

Abstract

Few existing surveys provide detailed longitudinal information on households and their homes. This article introduces a data source, the Health and Retirement Study (HRS), which has this detailed information but has received little attention by housing researchers to date. The HRS is a rich longitudinal data set that provides information on house values, house prices, and detailed personal characteristics of those who own and sell their homes. The HRS is a nationally representative longitudinal survey that originally sampled 7,700 households headed by an individual aged 51 to 61 in the first interviews in 1992 and 1993. It now also samples additional cohorts of older Americans. Although the HRS is the data set of choice when analyzing the retirement behavior, savings, and health status of older Americans, given its wealth of demographic, health, and socioeconomic data, it has been rarely used to answer questions regarding the housing market. A seldom used section of the questionnaire provides detailed information about real estate transactions by households, however, enabling researchers to repeatedly observe both self-reported house values and the actual selling prices of properties sold since 1992 (originally bought in the past five decades). The article describes a number of important housing-related measures available in the HRS and illustrates the usefulness of these data by conducting a statistical analysis of the accuracy of self-reported home values. Specifically, we analyze the predictive power of self-reported housing wealth when estimating housing prices using the HRS data. The evidence shows a slight overestimation of housing values by older Americans.

Keywords: HUD, Health, 2010, Housing

Suggested Citation

Benítez-Silva, Hugo and Eren, Selcuk and Heiland, Frank and Jimenez-Martin, Sergi, Using the Health and Retirement Study to Analyze Housing Decisions, Housing Values, and Housing Prices (September 1, 2010). Cityscape, Vol. 12, No. 2, p. 149, 2010. Available at SSRN: https://ssrn.com/abstract=1680909

Hugo Benítez-Silva (Contact Author)

affiliation not provided to SSRN ( email )

Selcuk Eren

Bard College - Levy Economics Institute ( email )

Blithewood
Annandale-on-Hudson, NY 12504
United States
845-758-7740 (Phone)
845-758-1149 (Fax)

HOME PAGE: http://www.levy.org

Frank Heiland

City University of New York - School of Public Affairs ( email )

135 E 22nd St
New York, NY 10010
United States

Sergi Jimenez-Martin

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences ( email )

Ramon Trias Fargas 25-27
Barcelona, 08005
Spain
(34) 93 542 16 67 (Phone)
(34) 93 542 17 46 (Fax)

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