Economic Measurement in the Health and Retirement Study
The Health and Retirement Study (HRS) is widely use for research on the well-being of the elderly. This paper assesses the quality of economic and financial variables in the HRS. I find the coverage is comprehensive and the quality of the data is uniformly high. Thus the HRS has earned its position as the most widely used data source for research on retirement, saving adequacy, pension policy and a host of other aging-related topics. I identify two general areas that continue to merit special attention. The first is measurement error, particularly errors arising from item non-response and from inaccurate respondent reports of the ownership and level of assets. The second is the quality of the pension data. Where appropriate, I make suggestions for improving economic measures in the HRS.
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Volume (Year): 14 (2011)
Issue (Month): 3 (April)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniel H. Hill, 2006. "Wealth dynamics: reducing noise in panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 845-860.
- Alan L. Gustman & Thomas L. Steinmeier & Nahid Tabatabai, 2010.
"What the Stock Market Decline Means for the Financial Security and Retirement Choices of the Near-Retirement Population,"
Journal of Economic Perspectives,
American Economic Association, vol. 24(1), pages 161-182, Winter.
- Alan L. Gustman & Thomas L. Steinmeier & Nahid Tabatabai, 2009. "What the Stock Market Decline Means for the Financial Security and Retirement Choices of the Near-Retirement Population," NBER Working Papers 15435, National Bureau of Economic Research, Inc.
- Alicia H. Munnell & Mauricio Soto & Anthony Webb & Francesca Golub-Sass & Dan Muldoon, 2008. "Health Care Costs Drive Up the National Retirement Risk Index," Issues in Brief ib2008-8-3, Center for Retirement Research, revised Mar 2008.
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