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Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability / Asher A. Blass, Saul Lach, Charles F. Manski.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Blass, Asher A.
Contributor:
National Bureau of Economic Research.
Lach, Saul.
Manski, Charles F.
Series:
Working Paper Series (National Bureau of Economic Research) no. w14451.
NBER working paper series no. w14451
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Other Title:
Using Elicited Choice Probabilities to Estimate Random Utility Models
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2008.
Summary:
When data on actual choices are not available, researchers studying preferences sometimes pose choice scenarios and ask respondents to state the actions they would choose if they were to face these scenarios. The data on stated choices are then used to estimate random utility models, as if they are data on actual choices. Stated choices may differ from actual ones because researchers typically provide respondents with less information than they would have facing actual choice problems. Elicitation of choice probabilities overcomes this problem by permitting respondents to express uncertainty about their behavior. This paper shows how to use elicited choice probabilities to estimate random utility models with random coefficients and applies the methodology to estimate preferences for electricity reliability in Israel.
Notes:
Print version record
October 2008.

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