A Test of the Rational Expectations Hypothesis using data from a Natural Experiment
AbstractData on contestants' choices in Italian Game Show Affari Tuoi are analysed in a way that separates the effect of risk attitude (preferences) from that of beliefs concerning the amount of money that will be offered to contestants in future rounds. The most important issue addressed in the paper is what belief function is actually being used by contestants. The parameters of this function are estimated freely along with the parameters of a choice model. Separate identification of the belief function and preferences is possible by virtue of the fact that at a certain stage of the game, beliefs are not relevant, and risk attitude is the sole determinant of choice. The rational expectations hypothesis is tested by comparing the estimated belief function with the "true" offer function which is estimated using data on offers actually made to contestants. We find that there is a significant difference between these two functions, and hence we reject the rational expectations hypothesis. However, when a simpler "rule-of-thumb" structure is as- sumed for the belief function, we find a correspondence to the function obtained from data on actual offers. Our overall conclusion is that contestants are rational to the extent that they make use of all available relevant information, but are not fully rational because they are not processing the information in an optimal way. The importance of belief-formation is confirmed by the estimation of a mixture model which establishes that the vast majority of contestants are forward-looking as opposed to myopic.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics in its series Jena Economic Research Papers with number 2009-104.
Date of creation: 21 Dec 2009
Date of revision:
Beliefs; Discrete choice models; Method of simulated likelihood; Natural Experiments; rational expectations; risky choice;
Other versions of this item:
- Anna Conte & Peter G. Moffatt & Fabrizio Botti & Daniela T. Di Cagno & Carlo D’Ippoliti, 2012. "A test of the rational expectations hypothesis using data from a natural experiment," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4661-4678, December.
- Anna Conte & Peter G. Moffatt & Fabrizio Botti & Daniela Di Cagno & Carlo D'Ippoliti, 2007. "A Test of the Rational Expectations Hypothesis using data from a Natural Experiment," Quaderni DEF 146, Dipartimento di Economia e Finanza, LUISS Guido Carli.
- Anna Conte & Peter G. Moffatt & Fabrizio Botti & Daniela T. Di Cagno & Carlo D'Ippoliti, 2009. "A Test of the Rational Expectations Hypothesis using data from a Natural Experiment," Quaderni DEF 161, Dipartimento di Economia e Finanza, LUISS Guido Carli.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-01-16 (All new papers)
- NEP-CBE-2010-01-16 (Cognitive & Behavioural Economics)
- NEP-DCM-2010-01-16 (Discrete Choice Models)
- NEP-UPT-2010-01-16 (Utility Models & Prospect Theory)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Markus Pasche).
If references are entirely missing, you can add them using this form.