The circumstances into which individuals are born are beyond their control, yet they play a significant role in shaping people’s economic opportunities and are thus key drivers of inequality and its persistence over time. Understanding the role of place of birth is essential to understanding inequality of opportunities and social mobility, both of which directly affect overall inequality. This paper uses machine learning techniques and data from Colombia, one of the most unequal countries in Latin America and the Caribbean, to estimate inequality of opportunity and intergenerational education mobility indexes. The analysis incorporate place of birth and a more granular geographic lens to capture the extent of regional disparities. The findings show that 49 percent of the Gini income inequality is explained by circumstances at birth, and place of birth accounts for up to half of these inequalities. Intergenerational mobility measures at the department (province) level also reveal striking disparities in opportunities across the country. These findings underscore the critical role that place of birth plays in perpetuating inequality, providing important insights for policies aimed at promoting social mobility and reducing territorial disparities.
| 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) PLATINUM 8562Y+ 2.80 GHz (2 processors)
• Memory available: 128 GB
Run time: ~ 2 days
To reproduce the findings in this paper, a replicator must:
Since all the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.
Some data is limited-access and has not been included in the reproducibility package. For more details, please refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Juan Manuel Monroy | World Bank | jmonroybarragan@worldbank.org |
| Maria Davalos | World Bank | mdavalos@worldbank.org |
2026-05-22
| Location | Code |
|---|---|
| Colombia | COL |
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 |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Maria Davalos | World Bank | mdavalos@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 |
2026-05-22
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