Likelihood Estimation and Inference in a Class of Nonregular Econometric Models
研究条件密度存在跳跃的结构模型推断问题，以拍卖模型和均衡工作搜寻模型为例，解决因似然函数不连续导致的非正则性和计算困难。
We study inference in structural models with a jump in the conditional density, where location and size of the jump are described by regression curves. Two prominent examples are auction models, where the bid density jumps from zero to a positive value at the lowest cost, and equilibrium job-search models, where the wage density jumps from one positive level to another at the reservation wage. General inference in such models remained a long-standing, unresolved problem, primarily due to nonregularities and computational difficulties caused by discontinuous likelihood functions. Copyright The Econometric Society 2004.