Classifying Behaviors in Risky Choices
AbstractThis paper presents a nonparametric approach to classification of data from lottery experiments. Using very basic mathematical tools the paper endeavors to answer the questions: How to determine the “average” subject in a group? How to find a subject presenting the most similar behavior to a given one? How to detect outlier subject(s)? How to classify behaviors by their dissimilarity from the perfectly rational decision maker? How to rank subjects by risk attitudes? How to cluster subjects? This paper demonstrates that the answer to all of these questions may be found non-parametrically, without the use of any specific model.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 23845.
Date of creation: 12 Jul 2010
Date of revision:
Lottery experiments; Certainty Equivalents; Risk Attitude; Cluster Analysis; Nonparametric Methods; Relative Utility Function.;
Find related papers by JEL classification:
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-24 (All new papers)
- NEP-CBE-2010-07-24 (Cognitive & Behavioural Economics)
- NEP-EXP-2010-07-24 (Experimental Economics)
- NEP-UPT-2010-07-24 (Utility Models & Prospect Theory)
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.:
- John Hey & Andrea Morone & Ulrich Schmidt, 2009.
"Noise and bias in eliciting preferences,"
Journal of Risk and Uncertainty,
Springer, vol. 39(3), pages 213-235, December.
- John D. Hey & Andrea Morone & Ulrich Schmidt, 2007. "Noise and Bias in Eliciting Preferences," Kiel Working Papers 1386, Kiel Institute for the World Economy.
- John D Hey & Andrea Morone & Ulrich Schmidt, 2007. "Noise and Bias in Eliciting Preferences," Discussion Papers 07/04, Department of Economics, University of York.
- Traub, Stefan & Schmidt, Ulrich, 2006.
"An Experimental Investigation of the Disparity between WTA and WTP for Lotteries,"
Economics Working Papers
2006,09, Christian-Albrechts-University of Kiel, Department of Economics.
- Ulrich Schmidt & Stefan Traub, 2009. "An Experimental Investigation of the Disparity Between WTA and WTP for Lotteries," Theory and Decision, Springer, vol. 66(3), pages 229-262, March.
- Schmidt, Ulrich & Traub, Stefan, 2009. "An experimental investigation of the disparity between WTA and WTP for lotteries," Open Access Publications from Kiel Institute for the World Economy 28786, Kiel Institute for the World Economy (IfW).
- Wakker,Peter P., 2010.
Cambridge University Press, number 9780521765015, December.
- Kontek, Krzysztof, 2010. "Multi-Outcome Lotteries: Prospect Theory vs. Relative Utility," MPRA Paper 22947, University Library of Munich, Germany.
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