Using data from the Health and Retirement Survey (HRS) and Assets and Health Dynamics of the Oldest Old (AHEAD), this paper presents estimates of the stochastic process that determines both the distribution and dynamics of health costs. We find that the data generating process for health costs is well represented by an ARMA(1,1). Furthermore, innovations to this process are close to lognormally distributed. In any given year, .1% of our sample receives a health cost shock that costs at least $80,000 in present value. Lastly, we discuss the accuracy of numerical solutions when integrating over health costs. Assuming lognormality, simple approximation rules work well.
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Paper provided by University at Albany, SUNY, Department of Economics in its series Discussion Papers with number
02-03.
Length: Date of creation: 2002 Date of revision: Handle: RePEc:nya:albaec:02-03
Contact details of provider: Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A. Phone: (518) 442-4735 Fax: (518) 442-4736
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.:
Cutler, David M. & Zeckhauser, Richard J., 2000.
"The anatomy of health insurance,"
Handbook of Health Economics,
in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 11, pages 563-643
Elsevier.
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