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Estimating the Retransformed Mean in a Heteroscedastic Two-Part Model

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Author Info
Alan Welsh (University of Southampton)
Xiao-Hua Zhou (University of Washington)
Abstract

Two distribution free estimators are proposed to estimate the mean of a dependent variable after fitting a semiparametric two-part heteroscedastic regression model to a transformation of the dependent variable. We show that the proposed estimators are consistent and have asymptotic normal distributions. We also compare their finite-sample performance in a simulation study. Finally, we illustrate the proposed methods in a real-world example of predicting in-patient health care costs.

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File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1047&context=uwbiostat
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Paper provided by Berkeley Electronic Press in its series UW Biostatistics Working Paper Series with number 1047.

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Date of creation: 29 Sep 2004
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Handle: RePEc:bep:uwabio:1047

Note: oai:bepress.com:uwbiostat-1047
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Related research
Keywords: extra zeros health care costs heteroscedastic regression model retransformation skewed data smearing two-part model

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  1. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-26, April.
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This page was last updated on 2008-7-1.


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