使用计数数据模型估计社会福利:内生分层和截断条件下长期休闲需求的应用

Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand Under Conditions of Endogenous Stratification and Truncation

Review of Economics and Statistics · 1995
被引 388 · 同刊同年前 5%
人大 AFT50ABS 4

中文导读

开发了一个负二项模型,校正了截断和内生分层,用于估计华盛顿州居民对喀斯喀特山脉徒步机会的支付意愿,并预测未来四十年的总旅行次数和支付意愿。

Abstract

This paper develops a negative binomial model of recreation demand that corrects for both truncation and endogenous stratification. This approach recovers the demand associated with the general population, not just the users of the site. This model demonstrates the importance of the joint nature of the population's latent demand for trips and the consumer surplus associated with those trips. The empirical results provide an estimate of the willingness-to-pay by Washington state residents for hiking opportunities in the Cascade Mountain Range. These results are used to forecast total trips and willingness-to-pay over the next forty years. Copyright 1995 by MIT Press.

负二项模型截断与内生分层休闲需求消费者剩余