Bayesian estimation of random‐coefficients choice models using aggregate data
讨论用贝叶斯方法估计基于聚合数据的Logit需求模型，分析独立样本和消费者面板两种系统，并揭示两者间的渐近联系，对实证研究者有参考价值。
Abstract This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and consumer panel. Under the first system, there is a different and independent random sample of N consumers in each period and each consumer makes only a single purchase decision. Under the second system, the same N consumers make a purchase decision in each of T periods. Interestingly, there exists an asymptotic link between these two systems, which has important implications for the estimation of these demand models. The proposed methods are illustrated using simulated and real data. Copyright © 2009 John Wiley & Sons, Ltd.