Springe zum Hauptinhalt

Fakultät für Wirtschaftswissenschaften
Chemnitz Economic Papers

Chemnitz Economic Papers

Working Papers

Back to all papers.

Testing the Grossman model of medical spending determinants with macroeconomic panel data

Jochen Hartwig ( and Jan-Egbert Sturm
Additional contact information
Jochen Hartwig: Professur für Wirtschaftspolitik, Faculty of Economics and Business Administration, Chemnitz University of Technology, CESifo Munich, Germany
Jan-Egbert Sturm: KOF Swiss Economic Institute, ETH Zurich, Switzerland, CESifo Munich, Germany

No 1, Chemnitz Economic Papers from Department of Economics, Chemnitz University of Technology

Abstract: Michael Grossman’s human capital model of the demand for health has been argued to be one of the major achievements in theoretical health economics. Attempts to test this model empirically have been sparse, however, and with mixed results. These attempts so far relied on using – mostly cross-sectional – micro data from household surveys. For the first time in the literature we bring in macroeconomic panel data for 29 OECD countries over the period 1970-2010 to test the model. In order to check the robustness of the results for the determinants of medical spending identified by the model, we include additional covariates that have been suggested as determinants for medical spending in an Extreme Bounds Analysis (EBA) framework. The preferred model specifications (including the robust covariates) lend some support to the empirical relevance of the determinants of medical spending identified by the Grossman model, except for the relative medical price.

Keywords: Medical spending; Grossman model; Extreme Bounds Analysis; OECD panel (search for similar items in EconPapers)
JEL-codes: C12 C23 I10 I12 (search for similar items in EconPapers)
Date: 2017-02, Revised 2017-02
References: Add references at CitEc
Citations Track citations by RSS feed

Published in Chemnitz Economic Papers, February 2017, pages 1-30

Downloads: CEP001_Hartwig_Sturm.pdf First version, 2017 (application/pdf)

Persistent link:

Access Statistics for this paper


Back to all papers.