Count Data Models and the Problem of Zeros in Recreation Demand Analysis
开发了一个计数数据模型，专门处理休闲需求分析中因变量大量为零的问题，并分离参与决策与数量决策，推导了合适的消费者剩余度量方法，并用休闲调查数据进行了说明。
Abstract In this paper we develop a count data model for consumer demand which explicitly allows for a large number of zero observations for the dependent variable, and separation of the participation versus quantity decisions. The advantages of the model over traditional censored and count demand models are brought out, and the appropriate consumer surplus measures are derived. By introducing a random error term into the traditional count model demand function, the appropriate measure of expected consumer surplus for count models is derived. The model is illustrated using a recreational survey of the general population.