Macroeconomic effects of Medicare

Juan Carlos Conesa, Daniela Costa, Parisa Kamali, Timothy J. Kehoe, Vegard M. Nygard, Gajendran Raveendranathan, Akshar Saxena

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


This paper develops an overlapping generations model to study the macroeconomic effects of an unexpected elimination of Medicare. We find that a large share of the elderly respond by substituting Medicaid for Medicare. Consequently, the government saves only 46 cents for every dollar cut in Medicare spending. We argue that a comparison of steady states is insufficient to evaluate the welfare effects of the reform. In particular, we find lower ex-ante welfare gains from eliminating Medicare when we account for the costs of transition. Lastly, we find that a majority of the current population benefits from the reform but that aggregate welfare, measured as the dollar value of the sum of wealth equivalent variations, is higher with Medicare.

Original languageEnglish (US)
Pages (from-to)27-40
Number of pages14
JournalJournal of the Economics of Ageing
StatePublished - May 2018

Bibliographical note

Funding Information:
This project was supported by the National Institutes of Health (NIH Grant No. 5R01AG048037-02). We thank participants at the 2015 Macroeconomics of Population Aging Workshop at Harvard T.H. Chan School of Public Health, the 2016 Aging and Macroeconomics meeting at the Barcelona Summer Forum, the 2016 Macro Public Finance Group meeting at the NBER Summer Institute, and two anonymous referees for helpful comments. The data and computer code used here can be found in the supplementary materials available at The views expressed herein are those of the authors and not necessarily those of the Federal Reserve Bank of Minneapolis or the Federal Reserve System.

Publisher Copyright:
© 2017


  • Medicaid
  • Medicare
  • Overlapping generations
  • Steady state
  • Transition path


Dive into the research topics of 'Macroeconomic effects of Medicare'. Together they form a unique fingerprint.

Cite this