Arbeitspapier

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

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.

Sprache
Englisch

Erschienen in
Series: Chemnitz Economic Papers ; No. 001

Klassifikation
Wirtschaft
Hypothesis Testing: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Health: General
Health Behavior
Thema
Medical spending
Grossman model
Extreme Bounds Analysis
OECD panel

Ereignis
Geistige Schöpfung
(wer)
Hartwig, Jochen
Sturm, Jan-Egbert
Ereignis
Veröffentlichung
(wer)
Chemnitz University of Technology, Faculty of Economics and Business Administration
(wo)
Chemnitz
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hartwig, Jochen
  • Sturm, Jan-Egbert
  • Chemnitz University of Technology, Faculty of Economics and Business Administration

Entstanden

  • 2017

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