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Earnings Growth and Movements in Self-Reported Health

  • Timothy Halliday

    ()

    (Department of Economics, University of Hawaii at Manoa)

We employ data from the Panel Study of Income Dynamics to investigate income to health causality. To account for unobserved heterogeneity, we focus on the relationship between earnings growth and changes in self-reported health status. Causal claims are predicated upon appropriate moment restrictions and specification tests of their validity. We find evidence of Granger-type causality running from income to health for married men but not for women or single men. These effects are more pronounced for younger men and the poor. The former may be the consequence of permanent earnings shocks.

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File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_11-17.pdf
File Function: First version, 2011
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Paper provided by University of Hawaii at Manoa, Department of Economics in its series Working Papers with number 201117.

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Length: 51 pages
Date of creation: 06 Dec 2011
Date of revision:
Handle: RePEc:hai:wpaper:201117
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  1. Martin Browning & Anne Moller Dano & Eskil Heinesen, 2006. "Job displacement and stress-related health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1061-1075.
  2. Torben G. Andersen & Bent E. Sorensen, 1995. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Discussion Papers 95-19, University of Copenhagen. Department of Economics.
  3. Halliday, Timothy J., 2007. "Income Volatility and Health," IZA Discussion Papers 3234, Institute for the Study of Labor (IZA).
  4. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
  5. 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," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526 National Bureau of Economic Research, Inc.
  6. Halliday, Timothy J., 2008. "Heterogeneity, State Dependence and Health," IZA Discussion Papers 3463, Institute for the Study of Labor (IZA).
  7. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-45, March.
  8. Meer, Jonathan & Miller, Douglas L. & Rosen, Harvey S., 2003. "Exploring the health-wealth nexus," Journal of Health Economics, Elsevier, vol. 22(5), pages 713-730, September.
  9. Frijters, Paul & Haisken-DeNew, John P. & Shields, Michael A., 2005. "The causal effect of income on health: Evidence from German reunification," Journal of Health Economics, Elsevier, vol. 24(5), pages 997-1017, September.
  10. Douglas L. Miller & Marianne E. Page & Ann Huff Stevens & Mateusz Filipski, 2009. "Why Are Recessions Good for Your Health?," American Economic Review, American Economic Association, vol. 99(2), pages 122-27, May.
  11. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
  12. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  13. Michael Anderson & Michael Marmot, 2012. "The Effects of Promotions on Heart Disease: Evidence from Whitehall," Economic Journal, Royal Economic Society, vol. 122(561), pages 555-589, 06.
  14. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  15. Jerome Adda & James Banks & Hans-Martin von Gaudecker, 2007. "The impact of income shocks on health: evidence from cohort data," IFS Working Papers W07/05, Institute for Fiscal Studies.
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