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Cited by 52Experimental Behavioral Economics StudiesDecision-Making and Behavioral EconomicsGame Theory and Applications

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Imitation and luck: An experimental study on social sampling

Offerman, Theo, Schotter, Andrew·2009·Games and Economic Behavior
DOI 10.1016/j.geb.2008.03.004
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Overview

Integrity signals

Registry

Crossref · 10.1016/j.geb.2008.03.004

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

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Citations

Cites

Cited by

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Metadata

Authors
Offerman, T., & Schotter, A.
Affiliations
New York University (US)
Corresponding author
Offerman, Theo
ORCID
Venue
Games and Economic Behavior
Publisher
Elsevier BV
Published
2009-03
Volume
65
Issue
2
Pages
461-502
ISSN
0899-8256 (ISSN-L)
DOI
10.1016/j.geb.2008.03.004
OpenAlex
W1982000301
Cited by
52
References
40
Citations by year
2025: 1 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 5 · 2018: 4 · 2017: 1 · 2016: 1 · 2014: 14 · 2013: 2 · 2012: 3
FWCI
10.32
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Games and Economic Behavior (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
Keywords
imitation, luck, risky decision making, individual decision-making, risk seeking, behavioral rules

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.