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

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  • Schunk, Daniel

    ()
    (University of Zürich Institute for Empirical Research in Economics)

  • Winter, Joachim

    ()
    (Mannheim Research Institute for the Economics of Aging (MEA))

Abstract

The existing evidence from laboratory experiments suggests that relatively simple heuristics describe observed search behavior better than the optimal stopping rule derived under risk neutrality. Such behavior could be generated by two entirely different classes of decision rules: (i) rules that are optimal conditional on utility functions that depart from risk neutrality or (ii) heuristics that derive from limited cognitive processing capacities and satisfycing. In this paper, we develop and test search models that depart from the standard assumption of risk neutrality in order to distinguish these two possibilities. In our experiment, we present subjects not only with a standard search task, but also with a series of lottery tasks that serve to elicit the shape of their utility functions. We do not find a relationship between behavior in the search task and measures of risk aversion. Our data suggest, however, that loss aversion is important for explaining search behavior.

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Bibliographic Info

Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 04-23.

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Length: 35 pages
Date of creation: 15 Jun 2004
Date of revision:
Handle: RePEc:xrs:sfbmaa:04-23

Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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Cited by:
  1. Arnaud Reynaud & Stephane Couture, 2010. "Stability of Risk Preference Measures: Results From a Field Experiment on French Farmers," LERNA Working Papers 10.10.316, LERNA, University of Toulouse.
  2. Daniela Di Cagno & Tibor Neugebauer & Carlos Rodriguez-Palmero & Abdolkarim Sadrieh, 2014. "Recall Searching with and without Recall," Working Papers 2014/14, Economics Department, Universitat Jaume I, Castellón (Spain).
  3. Yoichi Hizen & Keisuke Kawata & Masaru Sasaki, 2011. "An Experimental Test of a Committee Search Model," Discussion Papers in Economics and Business 11-06-Rev, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP), revised Sep 2012.
  4. Schunk, Daniel, 2009. "Behavioral heterogeneity in dynamic search situations: Theory and experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1719-1738, September.
  5. Gary Charness & Peter J. Kuhn, 2010. "Lab Labor: What Can Labor Economists Learn from the Lab?," NBER Working Papers 15913, National Bureau of Economic Research, Inc.
  6. Marcela Ibanez & Simon Czermak & Matthias Sutter, . "Searching for a better deal ? On the influence of group decision making, time pressure and gender in a search experiment," Working Papers 2008-05, Faculty of Economics and Statistics, University of Innsbruck.
  7. Eriksson, Kimmo & Strimling, Pontus, 2010. "The devil is in the details: Incorrect intuitions in optimal search," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 338-347, August.
  8. Franz Rothlauf & Daniel Schunk & Jella Pfeiffer, 2005. "Classification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms," MEA discussion paper series 05079, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  9. Gil-Lacruz, Ana I. & Gil-Lacruz, Marta, 2011. "Internal Inconsistency and Risk Aversion: Implications on Smoking Decisions/Consistencia interna y aversión al riesgo: implicaciones en la decisión de fumar," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 29, pages 387 (18 pá, Abril.
  10. Goecke, Henry & Luhan, Wolfgang J. & Roos, Michael W.M., 2013. "Rational inattentiveness in a forecasting experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 80-89.

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