Poverty is characterized by multidimensional economic, social, and psychological forces that, notably, constrain one’s agency over their fate. How can interventions best support the agency of low-income individuals and, in so doing, boost poverty-reduction efforts? We theorize, and find, that agency interventions are effective when they are designed to be “culturally wise,” i.e., attuned to the model of agency predominant in a cultural context. Focusing on low-income women in rural Niger, Study 1 finds that local mental models of economic success are grounded primarily in interdependence, centering relational factors like social harmony, respect, and collective benefits. As evidenced by data from a U.S. sample, this contrasts with a more independent model of agency common in the West, which centers self-oriented personal factors like self-initiative. Study 2 finds empirical support for these mental models in secondary analyses examining relational mechanisms (e.g., social standing) and self-oriented personal mechanisms (e.g., self-efficacy) of women’s economic advancement in a highly effective multifaceted poverty reduction program. Study 3 reports a field experiment with program participants (n = 2,628) to compare, to a control, a Western-derived personal agency intervention and a culturally wise relational agency intervention. Only relational agency caused significant improvements in economic outcomes over 12 months, as well as some personal and relational outcomes. By contrast, personal agency showed limited effects, shifting only personal outcomes. These findings reveal the promise of research at the intersection of social and cultural psychology, behavioral science, and development economics to help address global poverty.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
• Memory available: 15.7 GB
• Software version: Stata 18.0 MP
Runtime: 4 minutes
To reproduce the findings in this paper, a user should:
CulturallyWise.proj. renv::restore() and follow the prompts, or manually install the required packages. CulturallyWise_Code.rmd and knit the document. All data sources are publicly available, but they are not included in the reproducibility package.
| Author | Affiliation | |
|---|---|---|
| Catherine Cole Thomas | University of Michigan | thomascc@umich.edu |
| Patrick Premand | World Bank | ppremand@worldbank.org |
| Thomas Bossuroy | World Bank | tbossuroy@worldbank.org |
| Soumaila Abdoulaye Sambo | Groupe de Recherche, d'Etudes et d'Action pour le Développement (GREAD) | abdoulayesambosoumaila@gmail.com |
| Hazel Rose Markus | Stanford University | hmarkus@stanford.edu |
| Gregory M. Walton | Stanford University | gwalton@stanford.edu |
2025-08-14
| Location | Code |
|---|---|
| Niger | NER |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Catherine Cole Thomas | University of Michigan | thomascc@umich.edu |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-09-30
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