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BLP(1995)模型由于具备回避了“参数诅咒”、彻底解决IIA、同时又不需要个体数据的诸多优点，可以使应用研究者得以更有效地对异质产品市场进行更具现实意义的需求分析。目前其应用正从传统的实证产业组织，向其他经济和管理领域拓展。同时，对BLP方法的发展和改进，目前也是实证产业组织研究的前沿领域。本文对BLP模型的发展和应用进行了细致而全面的综述，以利国内学者了解和应用。
Bayesian nonparametric estimation and consistency of mixed multinomial logit choice models
Bayesian consistency blocked Gibbs sampler discrete choice models mixed multinomial logit random probability measures stick-breaking priors
2011/3/24
This paper develops nonparametric estimation for discrete choice models based on the mixed multinomial logit (MMNL) model. It has been shown that MMNL models encompass all discrete choice models deriv...
Approximate conditional inference for panel logit models allowing for state dependence and unobserved heterogeneity
binary data exponential quadratic distribution log-linear models logoddsratios longitudinal data
2010/4/27
We show that a dynamic logit model for binary panel data allowing for state dependence
and unobserved heterogeneity may be accurately approximated by a quadratic exponential
model, the parameters of...