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Record W3121725531

Individualism, Collectivism, and Trade

2017· preprint· en· W3121725531 on OpenAlexaff
Aidin Hajikhameneh, Erik O. Kimbrough

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typepreprint
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCollectivismIndividualismEnforcementPromotion (chess)Social psychologyPsychologyPositive economicsEconomicsPolitical scienceMarket economyPolitics
DOInot available

Abstract

fetched live from OpenAlex

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 effects. Lab experiments that assign institutions exogenously and measure and control individual cultural tendencies can allow for clean identification of these effects. 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’ dispositions to individualism/collectivism and their willingness to engage in impersonal trade under enforcement institutions of varying strength. Overall, we find that individualists tend to engage in trade more often than collectivists. This effect is mitigated somewhat as the effectiveness of enforcement institutions increases. That is, the detrimental impact on future trade of having been cheated in the past is reduced. Nevertheless we see that cultural dispositions shape the decision to engage in impersonal 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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.089
GPT teacher head0.380
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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