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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Exploring spatial patterns in general practice expenditure.

Mickael Bech1, Jørgen Lauridsen

  • 1Institute of Public Health, Health Economics, University of Southern Denmark, J.B. Winsløwvej 9, 1., 5000, Odense C, Denmark. mbe@sam.sdu.dk

The European Journal of Health Economics : HEPAC : Health Economics in Prevention and Care
|September 11, 2008
PubMed
Summary
This summary is machine-generated.

Public expenditure on general practitioners (GPs) in Danish municipalities is influenced by time and geography. Ignoring these spatial spillover effects leads to over-estimated determinant impacts.

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Area of Science:

  • Health Economics
  • Public Health Policy
  • Spatial Analysis

Background:

  • General Practitioner (GP) public expenditure analysis is crucial for resource allocation.
  • Understanding municipal expenditure determinants requires accounting for temporal and spatial factors.

Purpose of the Study:

  • To analyze the determinants of per capita general practitioner (GP) public expenditure in Danish municipalities.
  • To investigate spatial spillover effects and temporal dependencies in GP public expenditure.

Main Methods:

  • Econometric analysis of municipal data from 1997-2004.
  • Control for heterogeneity and dependency across years.
  • Investigation of spatial spillover effects using spatial econometrics.

Main Results:

  • Substantial heterogeneity and dependency across time were observed.
  • A significant spatial spillover effect in public GP expenditure was identified.
  • Ignoring spatial and temporal features leads to over-estimated determinant effects.

Conclusions:

  • Spatial spillover effects significantly influence public GP expenditure.
  • Non-observable, geographically concentrated variables have an indirect effect on expenditure.
  • Accurate analysis requires incorporating spatial dynamics and temporal dependencies.