Using Count Data Models in Travel Cost Analysis with Aggregate Data
讨论了在旅行成本分析中使用泊松和负二项计数数据模型，以处理需求截断和整数性质，并回顾了稳健估计方法，用边界水域独木舟区的许可证数据进行了示例分析。
Abstract In order to control for censoring and the integer nature of trip demand, the use of count data models in travel cost analysis is attractive. Two such models, the Poisson and negative binomial, are discussed. Robust estimation techniques that loosen potentially stringent distributional assumptions are also reviewed. For illustrative purposes, several count data models are used to estimate a county‐level travel cost model using permit data from the Boundary Waters Canoe Area.