Finite Mixture Analysis of Beauty-Contest Data from Multiple Samples
AbstractThis paper develops a finite mixture distribution analysis of Beauty-Contest data obtained from diverse groups of experiments. ML estimation using the EM approach provides estimates for the means and variances of the component distributions, which are common to all the groups, and estimates of the mixing proportions, which are specific to each group. This estimation is performed without imposing constraints on the parameters of the composing distributions. The statistical analysis indicates that many individuals follow a common pattern of reasoning described as iterated best reply (degenerate), and shows that the proportions of people thinking at different levels of depth vary across groups.
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Bibliographic InfoPaper provided by UCLA Department of Economics in its series Levine's Bibliography with number 122247000000000035.
Date of creation: 17 Feb 2004
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Other versions of this item:
- Antoni Bosch-Dom?nech & Jose Garcia-Montalvo & Rosemarie Nagel & Albert Satorra, 2004. "Finite mixture analysis of beauty-contest data from multiple samples," Artefactual Field Experiments 00013, The Field Experiments Website.
- NEP-ALL-2004-02-23 (All new papers)
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- Peter Arcidiacono & John Bailey Jones, 2003.
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Econometric Society, vol. 71(3), pages 933-946, 05.
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- Wengström, Erik, 2007. "Setting the Anchor: Price Competition, Level-n Theory and Communication," Working Papers 2007:6, Lund University, Department of Economics.
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