Identifiable information structures

Itai Arieli; Yakov Babichenko; Rann Smorodinsky

doi:10.1016/j.geb.2019.12.006

Identifiable information structures

Itai Arieli, Yakov Babichenko, Rann Smorodinsky

Data and Decision Sciences

Technion - Israel Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Consider a setting where many individuals forecast the (unknown) state of nature based on signals they receive independently. We refer to the joint distribution over the states and signals as an “information structure.” An information structure is deemed identifiable if the distribution of forecasts is sufficient to determine the state of nature, even without knowing the underlying information structure. We characterize the set of identifiable information structures and propose a scheme that uniquely identifies the state of nature for the finite case.

Original language	English
Pages (from-to)	16-27
Number of pages	12
Journal	Games and Economic Behavior
Volume	120
DOIs	https://doi.org/10.1016/j.geb.2019.12.006
State	Published - Mar 2020

Keywords

Forecast aggregation
Identifiable
Information structure

All Science Journal Classification (ASJC) codes

Finance
Economics and Econometrics

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10.1016/j.geb.2019.12.006

Cite this

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title = "Identifiable information structures",

abstract = "Consider a setting where many individuals forecast the (unknown) state of nature based on signals they receive independently. We refer to the joint distribution over the states and signals as an “information structure.” An information structure is deemed identifiable if the distribution of forecasts is sufficient to determine the state of nature, even without knowing the underlying information structure. We characterize the set of identifiable information structures and propose a scheme that uniquely identifies the state of nature for the finite case.",

keywords = "Forecast aggregation, Identifiable, Information structure",

author = "Itai Arieli and Yakov Babichenko and Rann Smorodinsky",

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year = "2020",

month = mar,

doi = "10.1016/j.geb.2019.12.006",

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AU - Babichenko, Yakov

AU - Smorodinsky, Rann

PY - 2020/3

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N2 - Consider a setting where many individuals forecast the (unknown) state of nature based on signals they receive independently. We refer to the joint distribution over the states and signals as an “information structure.” An information structure is deemed identifiable if the distribution of forecasts is sufficient to determine the state of nature, even without knowing the underlying information structure. We characterize the set of identifiable information structures and propose a scheme that uniquely identifies the state of nature for the finite case.

AB - Consider a setting where many individuals forecast the (unknown) state of nature based on signals they receive independently. We refer to the joint distribution over the states and signals as an “information structure.” An information structure is deemed identifiable if the distribution of forecasts is sufficient to determine the state of nature, even without knowing the underlying information structure. We characterize the set of identifiable information structures and propose a scheme that uniquely identifies the state of nature for the finite case.

KW - Forecast aggregation

KW - Identifiable

KW - Information structure

UR - http://www.scopus.com/inward/record.url?scp=85077384372&partnerID=8YFLogxK

U2 - 10.1016/j.geb.2019.12.006

DO - 10.1016/j.geb.2019.12.006

M3 - مقالة

SN - 0899-8256

VL - 120

SP - 16

EP - 27

JO - Games and Economic Behavior

JF - Games and Economic Behavior

ER -

Identifiable information structures

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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