AI meets narratives

The State and Future of Research on Expectation Formation in Economics and Sociology

Datos Bibliográficos

ID4237690
AutoresEkaterina Svetlova (0000-0002-8400-3465, University of Twente, autor de correspondencia)
Año2022
Volumen20
Número2
Páginas841-861
Fecha de publicación2022-07-08
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocio-Economic Review (JOURNAL)
Identificadores de la revistaISSN: 1475-1461 • E-ISSN: 1475-147X
DOI10.1093/ser/mwab033
OpenAlexW3183920998
IdiomaEN
Citas recibidas11
Referencias citadas64

This article presents contemporary concepts of economic beliefs in economics and sociology: (a) behavioural accounts; (b) learning; (c) narrative approaches; and (d) Science and Technology Studies-inflected integrative accounts. The review argues that cutting-edge research on expectations in both disciplines has paid insufficient attention to the fact that human agents are supported and partly substituted by modern technology while forming their beliefs. Thus, this article discusses how models, algorithms and artificial intelligence co-determine and profoundly change the theoretical and empirical understanding of expectation formation, and outlines a joint research agenda for studying economic expectations

Economic sociology · Economics · Epistemology · Narrative · Positive economics · Social science · Sociology · State (computer science · Complex Systems and Time Series Analysis · Computer Science · Financial Markets and Investment Strategies · Market Dynamics and Volatility