Earnings Growth versus Measures of Income and Education for Predicting Mortality
AbstractThis paper begins an exploration to determine whether earnings growth, as a measure of the propensity to invest in human capital, is a valuable variable for predicting mortality. To insure its robustness and general applicability to ongoing Social Security models, the usefulness of earnings growth as a predictor of mortality will be explored in multiple time periods. This paper begins that process by reporting preliminary results for an early time period using the 1973 CPS-SSA-IRS Exact Match file. In addition to presenting preliminary results, the paper also describes how data challenges associated with the pre-1978 administrative record data on earnings and mortality are met.
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Bibliographic InfoPaper provided by University of Michigan, Michigan Retirement Research Center in its series Working Papers with number wp257.
Length: 36 pages
Date of creation: Sep 2011
Date of revision:
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This paper has been announced in the following NEP Reports:
- NEP-AGE-2012-03-21 (Economics of Ageing)
- NEP-ALL-2012-03-21 (All new papers)
- NEP-FOR-2012-03-21 (Forecasting)
- NEP-HEA-2012-03-21 (Health Economics)
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.:
- Panis, C.W.A. & Lillard, L.A., 1996. "Socioeconomic Differentials in the Returns to Social Security," Papers 96-05, RAND - Labor and Population Program.
- James E Duggan & Robert Gillingham & John S Greenlees, 2008.
"Mortality and Lifetime Income: Evidence from U.S. Social Security Records,"
IMF Staff Papers,
Palgrave Macmillan, vol. 55(4), pages 566-594, December.
- John S. Greenlees & James E. Duggan & Robert Gillingham, 2007. "Mortality and Lifetime Income: Evidence from U.S. Social Security Records," IMF Working Papers 07/15, International Monetary Fund.
- Ken Smith & Cathleen Zick, 1994. "Linked lives, dependent demise? Survival analysis of husbands and wives," Demography, Springer, vol. 31(1), pages 81-93, February.
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