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Behavioral Econometrics for Psychologists

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  • Andersen, Steffen

    ()
    (Department of Economics, Copenhagen Business School)

  • Harrison, Glenn W.
  • Lau, Morten Igel
  • Rutström, Elisabet E.

Abstract

We make the case that psychologists should make wider use of econometric methods for the estimation of structural models. These methods involve the development of maximum likelihood estimates of models, where the likelihood function is tailored to the structural model. In recent years these models have been developed for a wide range of behavioral models of choice under uncertainty. We explain the components of this methodology, and illustrate with applications to major models from psychology. The goal is to build, and traverse, a constructive bridge between the modeling insights of psychology and the statistical tools of economists

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File URL: http://openarchive.cbs.dk/cbsweb/handle/10398/7800
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Bibliographic Info

Paper provided by Copenhagen Business School, Department of Economics in its series Working Papers with number 04-2009.

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Length: 74 pages
Date of creation: 01 Apr 2009
Date of revision:
Handle: RePEc:hhs:cbsnow:2009_004

Contact details of provider:
Postal: Department of Economics, Copenhagen Business School, Solbjerg Plads 3 C, 5. sal, DK-2000 Frederiksberg, Denmark
Phone: 38 15 25 75
Fax: 38 15 34 99
Email:
Web page: http://www.cbs.dk/departments/econ/
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Keywords: psychology; econometrcis; behavioral models;

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References

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Citations

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Cited by:
  1. Kerri Brick & Martine Visser & Justine Burns, 2011. "Risk Aversion: Experimental Evidence from South African Fishing Communities," Working Papers 227, Economic Research Southern Africa.
  2. Omar Al-Ubaydli, 2009. "How Large Looms the Ghost of the Past? State-Dependence vs. Heterogeneity in the Stag Hunt," Working Papers 1010, George Mason University, Interdisciplinary Center for Economic Science.
  3. Miraldo, M & Galizzi, MM, 2012. "Are you what you eat? Experimental evidence on risk preferences and health habits," Working Papers 9792, Imperial College, London, Imperial College Business School.
  4. Eyal Ert & Ido Erev, 2013. "On the descriptive value of loss aversion in decisions under risk: Six clarifications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(3), pages 214-235, May.
  5. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
  6. Douadia Bougherara & Xavier Gassmann & Laurent Piet, 2011. "A structural estimation of French farmers’ risk preferences: an artefactual field experiment," Working Papers SMART - LERECO 11-06, INRA UMR SMART.
  7. Drichoutis, Andreas & Nayga, Rodolfo, 2010. "Eliciting risk and time preferences under induced mood states," MPRA Paper 25731, University Library of Munich, Germany.
  8. Glenn W Harrison, 2008. "Neuroeconomics: A Critical Reconsideration," Levine's Working Paper Archive 122247000000001915, David K. Levine.
  9. Marc Scholten & Daniel Read, 2014. "Prospect theory and the “forgotten” fourfold pattern of risk preferences," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 67-83, February.
  10. Bougherara, Douadia & Gassmann, Xavier & Piet, Laurent, 2011. "Eliciting Risk Preferences: A Field Experiment on a Sample of French Farmers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114266, European Association of Agricultural Economists.
  11. Bolle, Friedel & Liepmann, Hannah & Vogel, Claudia, 2012. "How much social insurance do you want? An experimental study," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1170-1181.
  12. Jouini, Elyès & Napp, Clotilde, 2012. "Behavioral Biases and the Representative Agent," Economics Papers from University Paris Dauphine 123456789/2319, Paris Dauphine University.
  13. Miraldo, M & Galizzi, M & Stavropoulou, C, 2013. "In sickness but not in wealth: Field evidence on patients? risk preferences in the financial and health domain," Working Papers 12579, Imperial College, London, Imperial College Business School.

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