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Behavioral Econometrics for Psychologists

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Author Info
Andersen, Steffen (Department of Economics, Copenhagen Business School)
Harrison, Glenn W. (Department of Economics, Copenhagen Business School)
Lau, Morten Igel (Department of Economics, Copenhagen Business School)
Rutström, Elisabeth E. (Department of Economics, Copenhagen Business School)

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Abstract

We make the case that psychologists should make wider use of structural econometric methods. 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/10398/7571
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Publisher Info
Paper provided by Copenhagen Business School, Department of Economics in its series Working Papers with number 18-2007.

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Length: 49 pages
Date of creation: 01 Jan 2007
Date of revision:
Handle: RePEc:hhs:cbsnow:2007_018

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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 26 65
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Web page: http://www.cbs.dk/departments/econ/
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Related research
Keywords: na;

Find related papers by JEL classification:
C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
D03 - Microeconomics - - General - - - Behavioral Economics; Underlying Principles

Cited by:
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  1. Glenn W Harrison, 2008. "Neuroeconomics: A Critical Reconsideration," Levine's Working Paper Archive 122247000000001915, David K. Levine. [Downloadable!]
  2. 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. [Downloadable!] (restricted)
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This page was last updated on 2009-12-17.


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