| Title |
Testing the Grossman model of medical spending determinants with macroeconomic panel data
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, February 2018
|
| DOI | 10.1007/s10198-018-0958-2 |
| Pubmed ID | |
| Authors |
Jochen Hartwig, Jan-Egbert Sturm |
| 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. To check the robustness of the results for the determinants of medical spending identified by the model, we include additional covariates in an extreme bounds analysis (EBA) framework. The preferred model specifications (including the robust covariates) do not lend much empirical support to the Grossman model. This is in line with the mixed results of earlier studies. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Researcher | 3 | 6% |
| Professor | 3 | 6% |
| Other | 14 | 26% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 21 | 39% |
| Medicine and Dentistry | 7 | 13% |
| Business, Management and Accounting | 5 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 14 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2018.
All research outputs
#15,229,642
of 25,461,852 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#805
of 1,308 outputs
Outputs of similar age
#187,688
of 350,499 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#10
of 19 outputs
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