Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm
Different people may use different strategies, or decision rules, when solving complex decision problems. We provide a new Bayesian procedure for drawing inferences about the nature and number of decision rules present in a population, and use it to analyze the behaviors of laboratory subjects confr...
| Publié dans: | Econometrica. - Wiley. - 72(2004), 3, Seite 781-822 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2004
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| Accès à la collection: | Econometrica |
| Sujets: | Dynamic programming Gibbs sampling Bayesian decision theory Experimental economics Behavioral economics Heuristics Behavioral sciences Mathematics Philosophy Economics |
| Accès en ligne |
Volltext |