Consumption and Differential Mortality
AbstractIt is well-established that differential mortality according to wealth or income introduces bias into age profiles of these variables when estimated on cross-sectional or synthetic cohort data. However, little is known about whether this association is also found with consumption, and if so, how strong this association is. In this paper we use panel data on total household spending from the Health and Retirement Study (HRS) and its supplemental study, the Consumption and Activities Mail Survey (CAMS), to estimate differences in consumption by survival status to the next survey wave. We quantify the bias in age profiles of consumption that results from differential mortality when estimating the age profiles on cross-sectional data or on synthetic cohort data. We find that the bias is smaller than that found for wealth or income.
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Bibliographic InfoPaper provided by University of Michigan, Michigan Retirement Research Center in its series Working Papers with number wp254.
Length: 29 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-2011-11-28 (Economics of Ageing)
- NEP-ALL-2011-11-28 (All new papers)
- NEP-DEM-2011-11-28 (Demographic Economics)
- NEP-HEA-2011-11-28 (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.:
- Michael Hurd & Susann Rohwedder, 2008.
"Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey,"
646, RAND Corporation Publications Department.
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- Pierre-Olivier Gourinchas & Jonathan A. Parker, 2002.
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Econometric Society, vol. 70(1), pages 47-89, January.
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- Pierre-Olivier Gourinchas & Jonathan A. Parker, 1999. "Consumption Over the Life Cycle," NBER Working Papers 7271, National Bureau of Economic Research, Inc.
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