Applying Beta-type Size Distributions to Healthcare Cost Regressions
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- Andrew M. Jones & James Lomas & Nigel Rice, 2014. "Applying Beta‐Type Size Distributions To Healthcare Cost Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 649-670, June.
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
- repec:bla:jorssc:v:66:y:2017:i:2:p:273-294 is not listed on IDEAS
- Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
- Peter Zweifel, 2012. "The Grossman model after 40 years," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 677-682, December.
More about this item
KeywordsHealth econometrics; Generalised beta of the second kind; Generalised gamma; Skewed outcomes; Healthcare cost data;
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2012-01-03 (All new papers)
- NEP-ECM-2012-01-03 (Econometrics)
- NEP-HEA-2012-01-03 (Health Economics)
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