Business upgrading programs in developing economies often generate substantial gains for male entrepreneurs but limited average impacts for women, raising concerns about both efficiency and equity. This study developed a Program Readiness Scorecard—a transparent, scalable tool based on 10 observable factors capturing both entrepreneurial resources and capabilities—to identify those most likely to benefit from such programs. Using pooled experimental data from firms in Uganda, South Africa, and Mexico, this paper shows that without targeting, firms led by men experience large and statistically significant gains, while those led by women have near zero average returns. Targeting that screens out entrepreneurs with the lowest scores on the Program Readiness Scorecard irrespective of gender improves women’s outcomes but leaves a significant gap. Applying a higher Program Readiness Scorecard threshold—specifically, restricting eligibility to women in the top quartile of the Program Readiness Scorecard distribution—closes the gap entirely, as women with high scores achieve returns that are statistically indistinguishable from men’s. These results are robust to multiple sensitivity checks. The findings have two broad policy implications. First, targeting based on the Program Readiness Scorecard can strengthen program outcomes for women-led firms while also identifying the cohort in need of remedial support prior to joining high-value initiatives. Second, beyond gender-focused programs, the Program Readiness Scorecard can be applied in a wider range of settings where scarce program resources must be directed toward enterprises with the greatest potential for sustained growth.
| 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) Xeon(R) Gold 6226R CPU @ 2.90GHz
• Memory available: 32.0 GB
Runtime: 2 hours
To reproduce the findings in this package once the data embargo is lifted, please follow the steps below:
00_master.do file and update the file paths in line 10 to match your local directory.00_master.do file in Stata. This will generate all relevant figures and outputs.All data is temporarily embargoed by the authors (expected to be made public in the future).
| Author | Affiliation | |
|---|---|---|
| Arti Grover | IFC | agrover1@ifc.org |
| Stephen J. Anderson | Texas A&M University | steve@sjanderson.info |
| Shreya Kankanhalli | Cornell University | sak355@cornell.edu |
| Nandini Ramani | Texas A&M University | nramani@mays.tamu.edu |
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| Location | Code |
|---|---|
| World | WLD |
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 | |
|---|---|---|
| Arti Grover | IFC | agrover1@ifc.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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