A Theory of Subjective Learning, Third Version
We study an individual who faces a dynamic decision problem in which the process of information arrival is unobserved by the analyst. We elicit subjective information directly from choice behavior by deriving two utility representations of preferences over menus of acts. One representation uniquely identifies information as a probability measure over posteriors and the other identifies information as a partition of the state space. We compare individuals who expect to learn differently in terms of their preference for flexibility. On the extended domain of dated-menus, we show how to accommodate gradual learning over time by means of a subjective filtration.
|Date of creation:||01 Aug 2012|
|Date of revision:||03 Sep 2013|
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- Takeoka, Norio, 2007. "Subjective probability over a subjective decision tree," Journal of Economic Theory, Elsevier, vol. 136(1), pages 536-571, September.
- Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-77, May.
- Hyogo, Kazuya, 2007. "A subjective model of experimentation," Journal of Economic Theory, Elsevier, vol. 133(1), pages 316-330, March.
- Eddie eckel & Barton L Lipman & Aldo Rustichini & Todd Sarver, 2005. "Representing Preferences with a Unique Subjective State Space: Corrigendum," Boston University - Department of Economics - Working Papers Series WP2005-042, Boston University - Department of Economics.
- Dekel, Eddie & Lipman, Barton L & Rustichini, Aldo, 2001.
"Representing Preferences with a Unique Subjective State Space,"
Econometric Society, vol. 69(4), pages 891-934, July.
- Eddie Dekel, 1997. "A Unique Subjective State Space for Unforeseen Contingencies," Discussion Papers 1202, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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