A theory of subjective learning

Published

Journal Article

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. © 2014 Elsevier Inc.

Full Text

Duke Authors

Cited Authors

  • Dillenberger, D; Lleras, JS; Sadowski, P; Takeoka, N

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 153 / 1

Start / End Page

  • 287 - 312

Electronic International Standard Serial Number (EISSN)

  • 1095-7235

International Standard Serial Number (ISSN)

  • 0022-0531

Digital Object Identifier (DOI)

  • 10.1016/j.jet.2014.07.003

Citation Source

  • Scopus