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Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability

Asher Blass (), Saul Lach and Charles Manski

No 14451, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: C25 C42 D12 L51 L94 (search for similar items in EconPapers)
Date: 2008-10
New Economics Papers: this item is included in nep-dcm, nep-ecm, nep-ene and nep-upt
Note: EEE IO
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Published as Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, 05.

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Related works:
Journal Article: USING ELICITED CHOICE PROBABILITIES TO ESTIMATE RANDOM UTILITY MODELS: PREFERENCES FOR ELECTRICITY RELIABILITY (2010)
Working Paper: Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability (2008) Downloads
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