Estimation of Heterogeneous Preferences, with an Application to Demand for Internet Services
提出一个结构计量框架，显式建模离散和连续消费选择中未观测的个体内和个体间偏好异质性，并给出模拟辅助估计方法，应用于加州大学伯克利分校互联网需求实验数据。
This paper presents a structural econometric framework for discrete and continuous consumer choices in which unobserved intrapersonal and interpersonal preference heterogeneity is modeled explicitly. It outlines a simulation-assisted estimation methodology applicable in this framework. This methodology is illustrated in an application to analyze data from the U.C. Berkeley Internet Demand Experiment. 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.