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

被引：56

作者：

Blass, Asher A.

Lach, Saul

Manski, Charles F. ^{[1
]}

机构：

[1] Northwestern Univ, Dept Econ, Evanston, IL 60208 USA

来源：

INTERNATIONAL ECONOMIC REVIEW | 2010年 / 51卷 / 02期

关键词：

MAXIMUM SCORE ESTIMATOR; DISCRETE RESPONSE; EXPECTATIONS; INTENTIONS; IDENTIFICATION; DESIGN;

D O I：

10.1111/j.1468-2354.2010.00586.x

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：421 / 440

页数：20

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