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Complexity and Empirical Economics

Bibliographic Data

ID9714533
AuthorsSteven N Durlauf (0000-0001-8699-7056, University of Wisconsin, corresponding author)
Year2005
Volume115
Issue504
PagesF225-F243
Publication date2005-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2005.01003.x
OpenAlexW2044996667
LanguageEN
Citations received20
References cited46

This article explores the state of interplay between recent efforts to introduce complex systems methods into economics and the understanding of empirical phenomena. The empirical side of economic complexity may be divided into three general branches: historical studies, the identification of power and scaling laws, and analyses of social interactions. I argue that, while providing useful 'stylised facts', none of these empirical approaches has produced compelling evidence that economic contexts exhibit the substantive microstructure or properties of complex systems. This failure reflects inadequate attention to identification problems. Identification analysis should therefore be at the centre of future work on the empirics of complexity. Copyright 2005 Royal Economic Society

Economics · Empirical evidence · Empirical research · Epistemology · Identification (biology · Neoclassical economics · Positive economics · State (computer science · Work (physics · Complex Systems and Time Series Analysis · Computer Science · Economic and Technological Innovation · Economic theories and models

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Unique citing works20
Citations per year0,91
Citation span2004 - 2025 (22)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 19

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