IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

On the distribution and dynamics of health costs

  • Eric French
  • John Bailey Jones

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.

If you experience problems downloading a file, check if you have the proper application to view it first. 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.

File URL: http://www.chicagofed.org/digital_assets/publications/working_papers/2002/wp2002-21.pdf
Download Restriction: no

Paper provided by Federal Reserve Bank of Chicago in its series Working Paper Series with number WP-02-21.

as
in new window

Length:
Date of creation: 2002
Date of revision:
Handle: RePEc:fip:fedhwp:wp-02-21
Contact details of provider: Postal: P.O. Box 834, 230 South LaSalle Street, Chicago, Illinois 60690-0834
Phone: 312/322-5111
Fax: 312/322-5515
Web page: http://www.chicagofed.org/
Email:


More information through EDIRC

Order Information: Web: http://www.chicagofed.org/webpages/publications/print_publication_order_form.cfm Email:


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.:

as in new window
  1. Pischke, Jorn-Steffen, 1995. "Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 305-14, July.
  2. Eric French and John Jones, 2001. "The Effects of Health Insurance and Self-Insurance on Retirement Behavior," Computing in Economics and Finance 2001 24, Society for Computational Economics.
  3. John Rust & Christopher Phelan, 1994. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Public Economics 9406005, EconWPA, revised 06 Jul 1994.
  4. R. Glenn Hubbard & Jonathan Skinner & Stephen P. Zeldes, 1994. "Precautionary Saving and Social Insurance," NBER Working Papers 4884, National Bureau of Economic Research, Inc.
  5. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-66, July.
  6. 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.
  7. Christensen, Bent Jesper & Kiefer, Nicholas M., 1997. "Inference in non-linear panel models with partially missing observations The case of the equilibrium search model," Journal of Econometrics, Elsevier, vol. 79(2), pages 201-219, August.
  8. Kimball, Miles S., 1994. "The importance of precautionary motives in explaining individual and aggregate saving : A comment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 40(1), pages 127-132, June.
  9. Eric French, 2005. "The Effects of Health, Wealth, and Wages on Labour Supply and Retirement Behaviour," Review of Economic Studies, Oxford University Press, vol. 72(2), pages 395-427.
  10. David M, Blau & Donna B, Gilleskie, 2003. "Health Insurance and Retirement of Married Couples," Working Papers 2003-41, Centre de Recherche en Economie et Statistique.
  11. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.
  12. Jonathan Skinner & Stephen P. Zeldes, 2002. "The Importance of Bequests and Life-Cycle Saving in Capital Accumulation: A New Answer," American Economic Review, American Economic Association, vol. 92(2), pages 274-278, May.
  13. K. Newey, Whitney, 1985. "Generalized method of moments specification testing," Journal of Econometrics, Elsevier, vol. 29(3), pages 229-256, September.
  14. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  15. 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.
  16. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-75, April.
  17. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  18. Matthew Eichner & Mark B. McClellan & David A. Wise, 1998. "Insurance or Self-Insurance? Variation, Persistence, and Individual Health Accounts," NBER Chapters, in: Inquiries in the Economics of Aging, pages 19-49 National Bureau of Economic Research, Inc.
  19. Daniel Feenberg & Jonathan Skinner, 1992. "The Risk and Duration of Catastrophic Health Care Expenditures," NBER Working Papers 4147, National Bureau of Economic Research, Inc.
  20. R. Glenn Hubbard & Jonathan Skinner & Stephen P. Zeldes, 1993. "The Importance of Precautionary Motives in Explaining Individual and Aggregate Saving," NBER Working Papers 4516, National Bureau of Economic Research, Inc.
  21. Engle, Robert F & Gonzalez-Rivera, Gloria, 1991. "Semiparametric ARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 345-59, October.
  22. Palumbo, Michael G, 1999. "Uncertain Medical Expenses and Precautionary Saving Near the End of the Life Cycle," Review of Economic Studies, Wiley Blackwell, vol. 66(2), pages 395-421, April.
  23. Newey, Whitney K. & McFadden, Daniel, 1986. "Large sample estimation and hypothesis testing," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 36, pages 2111-2245 Elsevier.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fip:fedhwp:wp-02-21. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bernie Flores)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.