Consumption and Differential Mortality
It 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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- Michael Hurd & Susann Rohwedder, 2009.
"Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey,"
Institute for Fiscal Studies, vol. 30(Special I), pages 435-459, December.
- Michael Hurd & Susann Rohwedder, 2008. "Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey," Working Papers 646, RAND Corporation Publications Department.
- Pierre-Olivier Gourinchas & Jonathan A. Parker, 1999.
"Consumption Over the Life Cycle,"
NBER Working Papers
7271, 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.
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