Differential Mortality in Europe and the U.S.: Estimates Based on Subjective Probabilities of Survival
Estimates of differential mortality by socioeconomic status play an important role in several domains: in public policy for assessing distributional effects of public programs; in financial markets for the design of life insurance and annuities; and in individual decision making when figuring out how much to save for retirement. Traditionally, reliable estimates of differential mortality require rich panel data with large sample size. This paper proposes a new, less data-intensive approach relying on just a single cross-section of data. Rather than using observations on actual mortality in panel over time, the authors propose relating individuals' subjective probabilities of survival to variables of socioeconomic status in cross-section. They formulate the method in a model of survey response and provide an empirical validation based on data from the Health and Retirement Study comparing the alternative estimates to the traditional estimates of differential mortality for the same sample of baseline respondents. They present two applications. First, they document an increase in differential mortality in the U.S. over time, and second, they produce comparable estimates of differential mortality for 10 European countries and the U.S. based on subjective probabilities of survival.
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- Rasmus Hoffmann, 2005. "Does the socioeconomic mortality gradient interact with age? Evidence from US survey data and Danish register data," MPIDR Working Papers WP-2005-020, Max Planck Institute for Demographic Research, Rostock, Germany.
- Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, 09.
- Angus S. Deaton & Christina Paxson, 2001.
"Mortality, Education, Income, and Inequality among American Cohorts,"
in: Themes in the Economics of Aging, pages 129-170
National Bureau of Economic Research, Inc.
- Angus Deaton & Christina Paxson, 1999. "Mortality, education, income and inequality among American cohorts," Working Papers 279, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
- Angus Deaton & Christina Paxson, 1999. "Mortality, Education, Income, and Inequality among American Cohorts," NBER Working Papers 7140, National Bureau of Economic Research, Inc.
- Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004.
"Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status,"
in: Perspectives on the Economics of Aging, pages 415-526
National Bureau of Economic Research, Inc.
- Adams, Peter & Hurd, Michael D. & McFadden, Daniel & Merrill, Angela & Ribeiro, Tiago, 2003. "Healthy, wealthy, and wise? Tests for direct causal paths between health and socioeconomic status," Journal of Econometrics, Elsevier, vol. 112(1), pages 3-56, January.
- Michael D. Hurd & Kathleen McGarry, 2002.
"The Predictive Validity of Subjective Probabilities of Survival,"
Royal Economic Society, vol. 112(482), pages 966-985, October.
- Michael D. Hurd & Kathleen McGarry, 1997. "The Predictive Validity of Subjective Probabilities of Survival," NBER Working Papers 6193, National Bureau of Economic Research, Inc.
- Leslie E. Papke & Jeffrey M. Wooldridge, 1993.
"Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates,"
NBER Technical Working Papers
0147, National Bureau of Economic Research, Inc.
- Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-32, Nov.-Dec..
- David E. Bloom & David Canning & Michael Moore & Younghwan Song, 2006.
"The Effect of Subjective Survival Probabilities on Retirement and Wealth in the United States,"
PGDA Working Papers
1706, Program on the Global Demography of Aging.
- David E. Bloom & David Canning & Michael Moore & Younghwan Song, 2007. "The Effect of Subjective Survival Probabilities on Retirement and Wealth in the United States," Chapters, in: Population Aging, Intergenerational Transfers and the Macroeconomy, chapter 4 Edward Elgar.
- David E. Bloom & David Canning & Michael Moore & Younghwan Song, 2006. "The Effect of Subjective Survival Probabilities on Retirement and Wealth in the United States," NBER Working Papers 12688, National Bureau of Economic Research, Inc.
- O. Attanasio & H. W. Hoynes, .
"Differential mortality and wealth accumulation,"
Institute for Research on Poverty Discussion Papers
1079-96, University of Wisconsin Institute for Research on Poverty.
- James P. Smith, 1999. "Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 145-166, Spring.
- Lee Lillard & Robert J. Willis, 2001. "Cognition and Wealth: The Importance of Probabilistic Thinking," Working Papers wp007, University of Michigan, Michigan Retirement Research Center.
- Harriet Orcutt Duleep, 1986. "Measuring the Effect of Income on Adult Mortality Using Longitudinal Administrative Record Data," Journal of Human Resources, University of Wisconsin Press, vol. 21(2), pages 238-251.
- David A. Wise, 1989. "The Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise89-1.
- Adeline Delavande & Robert Willis, 2007. "Managing the Risk of Life," Working Papers wp167, University of Michigan, Michigan Retirement Research Center.
- Todd Elder, 2007. "Subjective Survival Probabilities in the Health and Retirement Study: Systematic Biases and Predictive Validity," Working Papers wp159, University of Michigan, Michigan Retirement Research Center.
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