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Analysis of Choice Expectations in Incomplete Scenarios

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  • Manski, Charles F

Abstract

This paper studies the use of probabilistic expectations data to predict behavior in incomplete scenarios posed by the researcher. The information that respondents have when replying to questions posing incomplete scenarios is a subset of the information that they would have in actual choice settings. Hence such questions do not elicit pure statements of preference; they elicit preferences mixed with expectations of future events that may affect choice behavior. The analysis developed here assumes respondents recognize that their behavior may depend on information they do not have when expectations are elicited, and that they answer coherently and honestly given the information provided. The objective in imagining such ideal respondents is to place a logical upper bound on the predictive content of elicited choice expectations. Copyright 1999 by Kluwer Academic Publishers

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Bibliographic Info

Article provided by Springer in its journal Journal of Risk and Uncertainty.

Volume (Year): 19 (1999)
Issue (Month): 1-3 (December)
Pages: 49-66

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Handle: RePEc:kap:jrisku:v:19:y:1999:i:1-3:p:49-66

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Web page: http://www.springerlink.com/link.asp?id=100299

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Cited by:
  1. Philip Kostov & John Lingard, 2004. "Risk Management – Managing Risks, not Calculating Them," Risk and Insurance 0409001, EconWPA.
  2. Wilbert van der Klaauw & Kenneth I. Wolpin, 2005. "Social Security and the Retirement and Savings Behavior of Low Income Households," PIER Working Paper Archive 05-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  3. Blass, Asher & Lach, Saul & Manski, Charles, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," CEPR Discussion Papers 7030, C.E.P.R. Discussion Papers.
  4. Tomás del Barrio Casto & William Nilsson & Andrés J. Picazo-Tadeo, 2013. "How wrong can you be, without noticing? Further evidence on speci cation errors in the Conditional Logit," Working Papers 1318, Department of Applied Economics II, Universidad de Valencia.
  5. McFadden, Daniel L. & Bemmaor, Albert C. & Caro, Francis G. & Dominitz, Jeff & Jun, Byung-hill & Lewbel, Arthur & Matzkin, Rosa L. & Molinari, Francesca & Schwarz, Norbert & Willis, Robert J. & Winter, 2005. "Statistical analysis of choice experiments and surveys," Munich Reprints in Economics 19251, University of Munich, Department of Economics.
  6. Petra Todd & Kenneth I. Wolpin, 2002. "Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility: Assessing the Impact of a School Subsidy Program in Mexico," PIER Working Paper Archive 03-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Sep 2003.
  7. Peter Arcidiacono & V. Joseph Hotz & Songman Kang, 2010. "Modeling College Major Choices using Elicited Measures of Expectations and Counterfactuals," NBER Working Papers 15729, National Bureau of Economic Research, Inc.
  8. Kesternich, Iris & Heiss, Florian & McFadden, Daniel & Winter, Joachim, 2012. "Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D," Discussion Papers in Economics 14124, University of Munich, Department of Economics.
  9. P. B. Anand, 2010. "Consumer Preferences for Water Supply? An Application of Choice Models to Urban India," Working Papers id:3287, eSocialSciences.

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