Bayesian semiparametric estimation of discrete duration models: an application of the dirichlet process prior
离散持续时间模型的贝叶斯半参数估计：Dirichlet 过程先验应用
Abstract This paper proposes a Bayesian estimator for a discrete time duration model which incorporates a non‐parametric specification of the unobserved heterogeneity distribution, through the use of a Dirichlet process prior. This estimator offers distinct advantages over the Nonparametric Maximum Likelihood estimator of this model. First, it allows for exact finite sample inference. Second, it is easily estimated and mixed with flexible specifications of the baseline…