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The Relationship Between Risk Attitudes and Heuristics in Search Tasks: A Laboratory Experiment

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Author Info
Schunk, Daniel
Winter, Joachim

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Abstract

Experimental studies of search behavior suggest that individuals stop searching earlier than predicted by the optimal, risk-neutral stopping rule. Such behavior could be generated by two different classes of decision rules: rules that are optimal conditional on utility functions departing from risk neutrality, or heuristics derived from limited cognitive processing capacities and satisfycing. To discriminate among these two possibilities, we conduct an experiment that consists of a standard search task as well as a lottery task designed to elicit utility functions. We find that search heuristics are not related to measures of risk aversion, but to measures of loss aversion.

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Publisher Info
Paper provided by University of Munich, Department of Economics in its series Discussion Papers in Economics with number 1377.

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Date of creation: Feb 2007
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Handle: RePEc:lmu:muenec:1377

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Related research
Keywords: search; heuristics; utility function elicitation; risk attitudes; prospect theory;

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Find related papers by JEL classification:
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
  2. Matthew Rabin & Richard H. Thaler, 2001. "Anomalies: Risk Aversion," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 219-232, Winter. [Downloadable!] (restricted)
  3. Eckstein, Zvi & Mortensen, Dale T., 2006. "Labor search," European Economic Review, Elsevier, vol. 50(4), pages 807-810, May. [Downloadable!] (restricted)
  4. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Oxford University Press, vol. 14(3), pages 347-68, September.
  5. Kobberling, Veronika & Wakker, Peter P., 2005. "An index of loss aversion," Journal of Economic Theory, Elsevier, vol. 122(1), pages 119-131, May. [Downloadable!] (restricted)
  6. Eckstein, Zvi & van den Berg, Gerard J., 2003. "Empirical Labor Search: A Survey," IZA Discussion Papers 929, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  7. Schunk, Daniel, 2005. "Search behaviour with reference point preferences:," Sonderforschungsbereich 504 Publications 05-12, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  8. Houser, Daniel & Winter, Joachim, 2004. "How Do Behavioral Assumptions Affect Structural Inference? Evidence from a Laboratory Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 64-79, January.
    Other versions:
  9. Schotter, Andrew & Braunstein, Yale M, 1981. "Economic Search: An Experimental Study," Economic Inquiry, Oxford University Press, vol. 19(1), pages 1-25, January.
  10. Braunstein, Yale M & Schotter, Andrew, 1982. "Labor Market Search: An Experimental Study," Economic Inquiry, Oxford University Press, vol. 20(1), pages 133-44, January.
  11. Harrison, Glenn W & Morgan, Peter, 1990. "Search Intensity in Experiments," Economic Journal, Royal Economic Society, vol. 100(401), pages 478-86, June. [Downloadable!] (restricted)
  12. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05. [Downloadable!] (restricted)
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  13. Hey, John D., 1982. "Search for rules for search," Journal of Economic Behavior & Organization, Elsevier, vol. 3(1), pages 65-81, March. [Downloadable!] (restricted)
  14. Benartzi, Shlomo & Thaler, Richard H, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 73-92, February. [Downloadable!] (restricted)
    Other versions:
  15. Sonnemans, Joep, 2000. "Decisions and strategies in a sequential search experiment," Journal of Economic Psychology, Elsevier, vol. 21(1), pages 91-102, February. [Downloadable!] (restricted)
  16. Matthew Rabin, 2002. "Inference By Believers In The Law Of Small Numbers," The Quarterly Journal of Economics, MIT Press, vol. 117(3), pages 775-816, August. [Downloadable!] (restricted)
  17. Cox, James C & Oaxaca, Ronald L, 1989. " Laboratory Experiments with a Finite-Horizon Job-Search Model," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 301-29, September.
  18. Schmidt, Ulrich & Traub, Stefan, 2002. " An Experimental Test of Loss Aversion," Journal of Risk and Uncertainty, Springer, vol. 25(3), pages 233-49, November. [Downloadable!] (restricted)
  19. Kogut, Carl A., 1990. "Consumer search behavior and sunk costs," Journal of Economic Behavior & Organization, Elsevier, vol. 14(3), pages 381-392, December. [Downloadable!] (restricted)
  20. Camerer, Colin F, 1989. " An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Rothlauf, Franz & Schunk, Daniel & Pfeiffer, Jella, 2005. "Classification of Human Decision Behavior: Finding," Sonderforschungsbereich 504 Publications 05-04, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  2. Franz Rothlauf & Daniel Schunk & Jella Pfeiffer, 2005. "Classification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms," MEA discussion paper series 05079, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
    Other versions:
  3. Schunk, Daniel, 2005. "Search behaviour with reference point preferences:," Sonderforschungsbereich 504 Publications 05-12, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  4. Schunk, Daniel & Betsch, Cornelia, 2004. "Explaining heterogeneity in utility functions by individual differences in preferred decision modes," Sonderforschungsbereich 504 Publications 04-26, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
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