This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Disability Forecasts and Future Medicare Costs

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jayanta Bhattacharya (Stanford University and NBER)
David Cutler (Harvard University and NBER)
Dana Goldman (RAND and NBER)
Michael Hurd (RAND and NBER)
Geoffrey Joyce (RAND)
Darius Lakdawalla (RAND and NBER)
Constantijn Panis (RAND)
Baoping Shang (RAND)

Additional information is available for the following registered author(s):

Abstract

The traditional focus of disability research has been on the elderly, with good reason. Chronic disability is much more prevalent among the elderly, and it has a more direct impact on the demand for medical care. It is also important to understand trends in disability among the young, however, particularly if these trends diverge from those among the elderly. These trends could have serious implications for future health care spending because more disability at younger ages almost certainlytranslates into more disability among tomorrow's elderly, and disability is a key predictor of health care spending.Using data from the Medicare Current Beneficiary Survey (MCBS) and the National Health Interview Study (NHIS), we forecast that per-capita Medicare costs will decline for the next fifteen to twenty years, in accordance with recent projections of declining disability among the elderly. By 2020, however, the trend reverses. Per-capita costs begin to rise due to growth in disability among the younger elderly. Total costs may well remain relatively flat until 2010 and then begin to rise because per-capita costs will cease to decline rapidly enough to offset the influx of new elderly people. Overall, cost forecasts for the elderly that incorporate information about disability among today's younger generations yield more pessimistic scenarios than those based solely on elderly data sets, and this information should be incorporated into official Medicare forecasts.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1052&context=fhep
File Format: application/pdf
File Function:
Download Restriction: Subscription to the journal may be required to access full texts.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Berkeley Electronic Press in its journal Forum for Health Economics & Policy.

Volume (Year): 7 (2004)
Issue (Month): 1 ()
Pages: 1052-1052
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:bep:fhecpo:v:7:y:2004:i:1:p:1052-1052

Note: oai:bepress:fhep-1052
Contact details of provider:
Web page: http://www.bepress.com/fhep

Order Information:
Web: http://www.bepress.com/subscriptions.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

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.:

  1. Jay Bhattacharya & Alan M. Garber & Thomas MaCurdy, 1996. "Cause-Specific Mortality among Medicare Enrollees," NBER Working Papers 5409, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Macurdy, T. & Green, D. & Paarsch, H., 1990. "Assessing Empirical Approaches For Analyzing Taxes And Labor Supply," Papers e-90-11, Stanford - Hoover Institution.
Full references

Statistics
Access and download statistics

Did you know? IDEAS also computes impact factors for journals and working paper series.

This page was last updated on 2008-11-19.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.