A Censored Random Coefficients Model for Pooled Survey Data With Application to the Estimation of Power Outage Costs
提出一个处理合并调查数据中删失和异质性的随机系数模型，并用美国电力公司数据估计企业停电成本，结果拒绝参数恒定和截面同质性假设。
In many surveys, multiple observations on the dependent variable are collected from a given respondent. The resulting pooled data set is likely to be censored and to exhibit cross-sectional heterogeneity. We propose a model that addresses both issues by allowing regression coefficients to vary randomly across respondents and by using the GewekeHajivassiliou-Keane simulator and Halton sequences to estimate highorder probabilities. We show how this framework can be usefully applied to the estimation of power outage costs to firms using data from a recent survey conducted by a U.S. utility. Our results strongly reject the hypotheses of parameter constancy and cross-sectional homogeneity. © 2002 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology