A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach
开发了一个面板数据负二项计数模型，修正了内生分层和截断问题，并引入潜在类别结构处理异质性，适用于旅游需求等计数数据分析。
In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes that the observations are drawn from a finite number of segments, where the distributions differ in the intercept and the coefficients of the explanatory variables. The paper argues that count data panel models corrected for on-site sampling may still be inadequate and potentially misleading if the population of interest is heterogeneous with respect to the impact of the chosen explanatory variables. <i></i>