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Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model Author info | Abstract | Publisher info | Download info | Related research | Statistics Tom Van Ourti
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We estimate the determinants of utilisation of physician and hospital services in Belgium using a one- and two-part panel count data model, and a one- and two-part pooled count data model. We conclude that the two-part panel count data model is most appropriate as it controls for unobserved heterogeneity and allows for a two-part decision-making process. The estimates of the determinants of utilisation of health care are then used to calculate indices of horizontal inequity. We find that inequity for general practitioner and hospital services is stable across time and in favour of low-income individuals, in the sense that, overall, they consume more than one would expect on the basis of their need, albeit the indices for hospital care are not significant. Horizontal equity applies to specialist care in all years, but from 1999 onwards, some evidence (although not statistically significant) of pro-rich inequity is found. Copyright © 2004 John Wiley & Sons, Ltd.
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Article provided by John Wiley & Sons, Ltd. in its journal Health Economics .
Volume (Year): 13 (2004)
Issue (Month): 7 ()
Pages: 705-724
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Handle: RePEc:wly:hlthec:v:13:y:2004:i:7:p:705-724Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Teresa Bago d'Uva & Andrew M. Jones & Eddy van Doorslaer, 2007.
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Teresa Bago d’Uva & Andrew M. Jones & Eddy van Doorslaer, 2007.
"Measurement of horizontal inequity in health care utilisation using European Panel data ,"
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"Measurement of horizontal inequity in health care utilisation using European panel data ,"
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