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Record W4383744524 · doi:10.3386/w31430

On the Importance of African Traditional Religion for Economic Behavior

2023· report· en· W4383744524 on OpenAlexaff
Aimable Amani Lameke, Nathan Nunn, Max Posch, Raúl Sierra

Bibliographic record

VenueNational Bureau of Economic Research · 2023
Typereport
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSociologyGeography

Abstract

fetched live from OpenAlex

Within the field of economics, despite being widespread, African traditional religions tend to be perceived as unimportant and ignored when studying economic decision-making.This study tests whether this presumption is correct.Using daily data on business decisions and performance of beer sellers in the eastern Democratic Republic of the Congo, we study the importance of traditional religious beliefs for economic behavior and outcomes.Beer sellers perceive the risk of theft in their shops to be higher than it actually is, causing them to hold lower inventories, more frequent stock-outs, and reduced profits.We facilitate randomly-timed access to commonly-used, but typically prohibitively expensive rituals, which reduce the perceived risk of theft.We find that the rituals partially correct the beliefs about the risk of theft for sellers who report believing in the ritual's efficacy.These sellers purchase more inventory, experience fewer stock-outs, and have larger sales, revenues, and profits.To distinguish the belief in the efficacy of the ritual from other incidental effects of participation, we analyze these outcomes for sellers who do not believe in the ritual.For these individuals, we find none of the observed effects.The findings provide evidence of the importance of African traditional religions, demonstrating that they can influence behavior and outcomes that are important for economic development.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.670
GPT teacher head0.560
Teacher spread0.109 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations4
Published2023
Admission routes1
Has abstractyes

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