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Linear Social Interactions Models

Datos Bibliográficos

ID10171981
AutoresLawrence E Blume (0000-0003-4352-2952, Cornell University), William A Brock (University of Missouri), Steven N Durlauf (0000-0001-8699-7056), Rajshri Jayaraman (0000-0002-7942-7052, European School of Management and Technology)
Año2015
Volumen123
Número2
Páginas444-496
Fecha de publicación2015-03-17
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Political Economy (JOURNAL)
Identificadores de la revistaISSN: 0022-3808 • E-ISSN: 1537-534X
EditorialUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/679496
OpenAlexW2157708808
IdiomaEN
Citas recibidas33
Referencias citadas41

This paper provides a systematic analysis of identification in linear social interactions models. This is a theoretical and econometric exercise as the analysis is linked to a rigorously delineated model of interdependent decisions. We develop an incomplete information game for individual choice under social influences that nests standard models as special cases. We consider identification of both endogenous and contextual social effects under alternative assumptions regarding an analyst’s a priori knowledge of social structure or access to individual-level or aggregate data. Finally, we discuss potential ramifications for identification of endogenous formation of social structure

A priori and a posteriori · Aggregate (composite · Aggregate data · Econometrics · Economics · Epistemology · Identification (biology · Interdependence · Linear model · Machine learning · Sociology · Statistics · Computer Science · Economic theories and models · Experimental Behavioral Economics Studies · Game Theory and Applications · Mathematics

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Obras citantes distintas33
Citas por año3,3
Intervalo de citas2016 - 2026 (11)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 33
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