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.
Authors
- Shakti Lamba
- Erik Postma (ORCID: https://orcid.org/0000-0003-0856-1294)
- Alex Mesoudi (ORCID: https://orcid.org/0000-0002-7740-1625)
- Dugald Foster
Publication Details
- Published
- 2025-09-19
- DOI
- https://doi.org/10.31235/osf.io/ykfhb_v1
- Primary Topic
- Microfinance and Financial Inclusion
- Type
- article
- Field-Weighted Citation Impact
- 0.00