Mullahy J
University of Wisconsin-Madison 53706, USA.
J Health Econ. 1998 Jun;17(3):247-81. doi: 10.1016/s0167-6296(98)00030-7.
In health economics applications involving outcomes (y) and covariates (x), it is often the case that the central inferential problems of interest involve E[y/x] and its associated partial effects or elasticities. Many such outcomes have two fundamental statistical properties: y > or = 0; and the outcome y = 0 is observed with sufficient frequency that the zeros cannot be ignored econometrically. This paper (1) describes circumstances where the standard two-part model with homoskedastic retransformation will fail to provide consistent inferences about important policy parameters; and (2) demonstrates some alternative approaches that are likely to prove helpful in applications.
在涉及结果(y)和协变量(x)的健康经济学应用中,通常情况下,核心的推断问题往往涉及E[y/x]及其相关的偏效应或弹性。许多此类结果具有两个基本统计特性:y≥0;并且观察到y = 0的频率足够高,以至于在计量经济学上不能忽略这些零值。本文(1)描述了同方差再变换的标准两部分模型无法对重要政策参数提供一致推断的情况;(2)展示了一些可能在应用中被证明有用的替代方法。