The paper makes an initial attempt to account for differences in the technologies used by women- and men-run businesses, that is, technological “heterogeneity”, to better understand productivity differences between the two groups. We do so by applying meta frontier analysis to the efficiency of private hotels in Georgia estimated using data envelopment analysis (DEA) methodology. The exercise allows us to distinguish between productivity differences conditional on the available technology to each group (technical efficiency) and due to differences in the available technology (technology gap). We show that gender-based differences in technical efficiency and technology gap are very different in their direction, size, and distribution across low vs. high levels of efficiency. For example, women-run hotels outperform men-run hotels in technical efficiency by 21 percentage points. However, this superior performance is almost fully countered by the inferior technology used by women due to the prevailing socio-cultural and economic environment. We also uncover that the impact of technology gap in widening the productivity gap is much stronger at low levels of efficiency than at higher levels (the “sticky floors” effect). No such evidence is found for technical efficiency or overall efficiency. Thus, the existing literature, which assumes technological “homogeneity”, provides at best an incomplete picture of the true nature of gender-based productivity gaps and at worst, a misleading one. Our main result survives endogeneity checks based on propensity score matching and is robust to several measures of productivity and outlier checks. Policy implications of the findings are discussed.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in one computer with the following specifications:
OS: Windows 11 Enterprise
Processor: Intel(R) Xeon(R) Gold 5218 CPU @2.30GHz
Memory available: 6 GB
1.5 hours total run time. (Generating Table A7 alone takes ~1 hour and 15 minutes.)
To reproduce the findings in this study, please follow the steps below:
Eff_4-17-2025.do and Results_replication.do sequentially. All datasets are limited-access and not included in the reproducibility package.
| Author | Affiliation | |
|---|---|---|
| Mohammad Amin | World Bank | mamin@worldbank.org |
| Nesma Ali | World Bank | nali4@worldbank.org |
2025-12-18
| Location | Code |
|---|---|
| Georgia | GEO |
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 | |
|---|---|---|
| Mohammad Amin | World Bank | mamin@worldbank.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 |
2025-12-18
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