Counterfactuals with latent information (Record no. 520319)

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fixed length control field 01316nam a22001457a 4500
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fixed length control field 220907b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bergemann, D. Brooks, B. and Morris, S.
245 ## - TITLE STATEMENT
Title Counterfactuals with latent information
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc American Economic Review
300 ## - PHYSICAL DESCRIPTION
Extent 112(1), Jan, 2022: p.343-368
520 ## - SUMMARY, ETC.
Summary, etc We describe a methodology for making counterfactual predictions in settings where the information held by strategic agents and the distribution of payoff-relevant states of the world are unknown. The analyst observes behavior assumed to be rationalized by a Bayesian model, in which agents maximize expected utility, given partial and differential information about the state. A counterfactual prediction is desired about behavior in another strategic setting, under the hypothesis that the distribution of the state and agents' information about the state are held fixed. When the data and the desired counterfactual prediction pertain to environments with finitely many states, players, and actions, the counterfactual prediction is described by finitely many linear inequalities, even though the latent parameter, the information structure, is infinite dimensional. – Reproduced
773 ## - HOST ITEM ENTRY
Main entry heading American Economic Review
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP PROJECT MANAGEMENT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2022-09-07 112(1), Jan, 2022: p.343-368 AR126923 2022-09-07 Articles

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