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...
| Veröffentlicht in: | Econometrica. in. - Wiley. - 72(2004), 3, Seite 781-822 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2004
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| Zugriff auf das übergeordnete Werk: | Econometrica. in |
| Schlagworte: | Dynamic programming Gibbs sampling Bayesian decision theory Experimental economics Behavioral economics Heuristics Behavioral sciences Mathematics Philosophy Economics |
| Online verfügbar |
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