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Journal of Applied Econometrics
Article . 2011 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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The frequency of visiting a doctor: Is the decision to go independent of the frequency?

Authors: van Ophem, H.;

The frequency of visiting a doctor: Is the decision to go independent of the frequency?

Abstract

In his analysis of the effects of the reform of the German healthcare system, Winkelmann(2004) investigates the number of doctor visits. He makes a distinction between the decision to go to a physician and the number of times the physician is visited in the observed time period. Winkelmann finds that there is no correlation between both decisions. This results appears to be far from straightforward since the primary driving force in both decision will be the health of the patient. From this perspective a significant correlation is expected. In this paper it is analysed whether the apparent zero correlation is actually true or comes from the way the relation between both decisions is modelled. My empirical analysis confirms the latter, but nevertheless also corroborates Winkelmann's main conclusions on the relevance of the explanatory variables used in his investigation.JEL: I11, C35.Keywords: count models, hurdle-Poisson specification, copulas, correlation.

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Netherlands
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
bronze