A discrete random effects probit model with application to the demand for preventive care.
A discrete random effects probit model with application to the demand for preventive care.
复制标题
应用于预防保健需求的离散随机效应概率模型。
作者：
P. Deb
我发展了一个随机效应概率模型，其中随机截距的分布用离散密度来近似。蒙特卡罗结果表明，只需要三到四个支撑点，离散密度就能接近正常密度和卡方密度，并提供结构参数和随机截距方差的无偏估计。实证应用表明，已观察到的家庭特征和未观察到的家庭层面的异质性都是预防保健需求的重要决定因素。
I have developed a random effects probit model in which the distribution of the random intercept is approximated by a discrete density. Monte Carlo results show that only three to four points of support are required for the discrete density to closely mimic normal and chi-squared densities and provide unbiased estimates of the structural parameters and the variance of the random intercept. The empirical application shows that both observed family characteristics and unobserved family-level heterogeneity are important determinants of the demand for preventive care.
影响因子：
3
作者：
K. Saag;B. Doebbeling;J. Rohrer;S. Kolluri;R. Peterson;M. E. Hermann;R. Wallace
通讯作者：
K. Saag;B. Doebbeling;J. Rohrer;S. Kolluri;R. Peterson;M. E. Hermann;R. Wallace
影响因子：
3.5
作者：
Deb, P;Trivedi, PK
通讯作者：
Trivedi, PK