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Collective Progress

Dynamics of Exit Waves

Bibliographic Data

ID10180212
AuthorsDoruk Cetemen (0000-0002-1934-4685, City, University of London), Can Urgun (Princeton University), Leeat Yariv (Centre for Economic Policy Research)
Year2023
Volume131
Issue9
Pages2402-2450
Publication date2023-02-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/724321
OpenAlexW3173520487
LanguageEN
Citations received2
References cited31

We introduce a framework for studying collective search by teams. Discoveries are correlated over time and governed by a Brownian path, where search speed is jointly controlled. Agents individually choose when to cease search and implement their best discovery. We characterize equilibrium and optimal policies. Search speeds are constant within active alliances and depend on complementarities between members. A drawdown stopping boundary governs each agent's search termination. The consequent exit waves, whereby possibly heterogeneous agents cease search simultaneously, exhibit deterministic sequencing but stochastic timing. We highlight environments with lower than optimal equilibrium speeds and search durations, and different exit waves

Boundary (topology · Brownian motion · Constant (computer programming · Drawdown (hydrology · Economics · Mathematical analysis · Mathematical economics · Mathematical optimization · Optimal stopping · Path (computing · Physics · Statistical physics · Computer Science · Economic Theory and Institutions · Game Theory and Applications · Geology · Mathematics · Political Economy and Marxism

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  • The Life Cycle of a Competitive Industry

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Unique citing works2
Citations per year0.67
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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