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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by RAND Corporation Publications Department in its series Working Papers with number
613.
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.:
Charles F. Manski, 2004.
"Measuring Expectations,"
Econometrica,
Econometric Society, vol. 72(5), pages 1329-1376, 09.
[Downloadable!] (restricted)
Adeline Delavande & Robert Willis, 2007.
"Managing the Risk of Life,"
Working Papers
wp167, University of Michigan, Michigan Retirement Research Center.
[Downloadable!]
Cited by: (explanations, 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.)
Did you know? You can import bibliographic info in various formats into you bibliographic tool, or just into your word processor. See under "publisher info" on each abstract page.