Modelling Noise and Imprecision in Individual Decisions
AbstractWhen individuals take part in decision experiments, their answers are typically subject to some degree of noise / error / imprecision. There are different ways of modelling this stochastic element in the data, and the interpretation of the data can be altered radically, depending on the assumptions made about the stochastic specification. This paper presents the results of an experiment which gathered data of a kind that has until now been in short supply. These data strongly suggest that the 'usual' (Fechnerian) assumptions about errors are inappropriate for individual decision experiments. Moreover, they provide striking evidence that core preferences display systematic departures from transitivity which cannot be attributed to any 'error' story.
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Bibliographic InfoPaper provided by Universidad Pablo de Olavide, Department of Economics in its series Working Papers with number 10.03.
Length: 31 pages
Date of creation: Feb 2010
Date of revision:
Error Imprecision Preferences Transitivity;
Find related papers by JEL classification:
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-04-17 (All new papers)
- NEP-CBE-2010-04-17 (Cognitive & Behavioural Economics)
- NEP-EXP-2010-04-17 (Experimental Economics)
- NEP-UPT-2010-04-17 (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.:
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