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A nonparametric vs. latent class model of general practitioner utilization: Evidence from Canada

Logan McLeod ()

Journal of Health Economics, 2011, vol. 30, issue 6, 1261-1279

Abstract: Predicting health care utilization is the foundation of many health economics analyses, such as calculating risk-adjustment capitation payments or measuring equity in health care utilization. The most common econometric models of physician utilization are parametric count data models, since the most common metric of physician utilization is the number of physician visits.

Keywords: GP utilization; Kernel conditional density estimator; Latent class models; Count data; Panel data (search for similar items in EconPapers)
JEL-codes: I10 I12 C14 C23 C52 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jhecon:v:30:y:2011:i:6:p:1261-1279

DOI: 10.1016/j.jhealeco.2011.08.005

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Journal of Health Economics is currently edited by J. P. Newhouse, A. J. Culyer, R. Frank, K. Claxton and T. McGuire

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