Testing Evolutionary Theories of Human Cooperation via Meta-Analysis of Microfinance Repayment

Explaining how cooperation evolves is a major research programme in the biological and social sciences. In this study we tested evolutionary theories of human cooperation in a real-world social dilemma: joint liability microfinance, in which groups of borrowers must cooperate to successfully repay a shared loan. We used pre-registered Bayesian multilevel models to estimate meta-analytic associations between loan repayment and proxies of four evolutionary mechanisms proposed to support cooperation: relatedness, reciprocity, partner choice, and punishment. A systematic search of the microfinance literature yielded 73 effect estimates for 11 proxies of evolutionary mechanisms analysed in 11 separate meta-analyses. Punishment-based variables showed the strongest positive meta-analytic associations with loan repayment, with mixed results for other mechanisms. However, estimates varied widely in their certainty, with generally high levels of between-study heterogeneity. Our results provide some evidence for evolutionary mechanisms supporting cooperation in real-world contexts, but also indicate there are non-generalisable findings and/or reproducibility issues in the microfinance literature.

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.31235/osf.io/ykfhb_v1
Primary Topic
Microfinance and Financial Inclusion
Type
article
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article

Testing Evolutionary Theories of Human Cooperation via Meta-Analysis of Microfinance Repayment

Shakti Lamba, Erik Postma, Alex Mesoudi, Dugald Foster
Microfinance and Financial Inclusion
article

Testing Evolutionary Theories of Human Cooperation via Meta-Analysis of Microfinance Repayment

Shakti Lamba, Erik Postma, Alex Mesoudi, Dugald Foster
article en

Abstract

Explaining how cooperation evolves is a major research programme in the biological and social sciences. In this study we tested evolutionary theories of human cooperation in a real-world social dilemma: joint liability microfinance, in which groups of borrowers must cooperate to successfully repay a shared loan. We used pre-registered Bayesian multilevel models to estimate meta-analytic associations between loan repayment and proxies of four evolutionary mechanisms proposed to support cooperation: relatedness, reciprocity, partner choice, and punishment. A systematic search of the microfinance literature yielded 73 effect estimates for 11 proxies of evolutionary mechanisms analysed in 11 separate meta-analyses. Punishment-based variables showed the strongest positive meta-analytic associations with loan repayment, with mixed results for other mechanisms. However, estimates varied widely in their certainty, with generally high levels of between-study heterogeneity. Our results provide some evidence for evolutionary mechanisms supporting cooperation in real-world contexts, but also indicate there are non-generalisable findings and/or reproducibility issues in the microfinance literature.

Openalex Percentile: Top 66%
Microfinance and Financial Inclusion
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Testing Evolutionary Theories of Human Cooperation via Meta-Analysis of Microfinance Repayment — Shakti Lamba, Erik Postma, et al. · (2025) | TGRS Research Map | TGRS