利用诱导选择概率估计随机效用模型:对电力可靠性的偏好

USING ELICITED CHOICE PROBABILITIES TO ESTIMATE RANDOM UTILITY MODELS: PREFERENCES FOR ELECTRICITY RELIABILITY*

International Economic Review · 2010
被引 119
人大 AABS 4

中文导读

提出利用受访者报告的选择概率而非实际选择数据来估计随机效用模型,解决了实际选择数据缺失时偏好估计的偏差问题,并以电力可靠性偏好为例进行实证。

Abstract

When choice data are not available, researchers studying preferences sometimes ask respondents to state the actions they would choose in choice scenarios. Data on stated choices are then used to estimate random utility models, as if they are data on actual choices. Stated and actual choices may differ because researchers typically provide respondents less information than they would have in actuality. Elicitation of choice probabilities overcomes this problem by permitting respondents to express uncertainty about behavior. This article shows how to use elicited choice probabilities to estimate random utility models and reports estimates of preferences for electricity reliability.

陈述选择概率随机效用模型电力可靠性偏好偏好估计方法