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Record W2585918940 · doi:10.1007/s10683-017-9560-1

Individualism, collectivism, and trade

2017· article· en· W2585918940 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueExperimental Economics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaSimon Fraser University
KeywordsCollectivismIndividualismEnforcementAltruism (biology)Social psychologyPromotion (chess)Positive economicsEconomicsPsychologyPublic economicsPolitical scienceMarket economyLaw

Abstract

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Abstract While economists recognize the important role of formal institutions in the promotion of trade, there is increasing agreement that institutions are typically endogenous to culture, making it difficult to disentangle their separate contributions. Lab experiments that assign institutions exogenously and measure and control individual cultural characteristics can allow for clean identification of the effects of institutions, conditional on culture, and help us understand the relationship between behavior and culture, under a given institutional framework. We focus on cultural tendencies toward individualism/collectivism, which social psychologists highlight as an important determinant of many behavioral differences across groups and people. We design an experiment to explore the relationship between subjects’ degree of individualism/collectivism and their willingness to abandon a repeated, bilateral exchange relationship in order to seek potentially more lucrative trade with a stranger, under enforcement institutions of varying strength. Overall, we find that individualists tend to seek out trade more often than collectivists. A diagnostic treatment and additional analysis suggests that this difference may reflect both differential altruism/favoritism to in-group members and different reactions to having been cheated in the past. This difference is mitigated somewhat as the effectiveness of enforcement institutions increases. Nevertheless we see that cultural dispositions are associated with willingness to seek out trade, regardless of institutional environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.336
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it