Econometric Issues in Estimating Consumer Preferences from Stated Preference Data: A Case Study of the Value of Automobile Travel Time
探讨了用陈述偏好数据估计汽车出行时间价值时的计量方法问题，比较了有序probit、排序logit和混合logit模型，发现平均支付意愿较低且司机间差异不大，并提醒注意基于评分的估计需谨慎。
This paper explores a number of methodological issues related to the econometric analysis of stated preference data in the context of estimating the value of automobile travel time. Estimates of parameters and the willingness to pay (WTP) to save time are obtained using conventional ordered probit and rank-ordered logit models and an innovation called mixed logit. We find that the average WTP is low and does not exhibit much variation among motorists. Although our findings using data on respondents' rankings of alternatives are robust, we find that caution should be used in estimating stated preferences based on respondents' ratings. © 2001 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology