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Naïve Learning with Uninformed Agents

Naïve Learning with Uninformed Agents

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1257_aer_20181151

Naïve Learning with Uninformed Agents

About this item

Full title

Naïve Learning with Uninformed Agents

Publisher

American Economic Association

Journal title

The American economic review, 2021-11, Vol.111 (11), p.3540-3574

Language

English

Formats

Publication information

Publisher

American Economic Association

More information

Scope and Contents

Contents

The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naïve learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension of...

Alternative Titles

Full title

Naïve Learning with Uninformed Agents

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1257_aer_20181151

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1257_aer_20181151

Other Identifiers

ISSN

0002-8282

E-ISSN

1944-7981

DOI

10.1257/aer.20181151

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