Global measures of human capital have attracted substantial attention from policymakers, but prominent measures capture only the human capital accumulated by age 18. Human capital continues to develop through tertiary education and work experience. This paper introduces the Human Capital Index Plus (HCI+), an extension of the World Bank Human Capital Index (HCI) that incorporates tertiary education and on-the-job learning. The HCI+ focuses on outcomes rather than inputs, aggregating health, education, and employment according to their contributions to lifetime earnings. The paper presents the conceptual framework and methodology underlying the index. The HCI+ data reveal that the average low- and middle-income country could raise a child's expected future earnings by roughly 50 percent by matching top performers at its income level.
| 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 processors)
• Memory available: 128 GB
Runtime: 1 minute.
To reproduce the findings in this paper, a replicator must:
HCI-Plus-PRWP.Rproj in RStudio, or start R with the package root as the working directory. renv activates automatically; use renv to restore the R packages listed in renv.lock. File paths are built with the here package, so no directory needs to be changed.02_programs/00_main.R. It renders 02_programs/HCIplus_WorkingPaper.qmd, which computes every table, figure, and number quoted in the text, and writes the manuscript to 03_output/HCIplus_WorkingPaper.docx, the figures (PNG and CSV) to 03_output/figures/, and the table data (CSV) to 03_output/tables/.All input data are included in 01_raw_data/. Setting pull_fresh_data to TRUE at the top of 00_main.R re-downloads the World Development Indicators and country metadata through the World Bank API; because WDI series are revised over time, a fresh download may move some results slightly away from the published values.
The reproducibility package relies on one type of data: open data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.
| Author | Affiliation | |
|---|---|---|
| Brian William Stacy | World Bank Group | bstacy@worldbank.org |
| Norbert Schady | World Bank Group | nschady@worldbank.org |
| Joana Silva | World Bank Group | jsilva@worldbank.org |
| Benoit Decerf | University of Namur | benoit.decerf@unamur.be |
| Ritika D’Souza | World Bank Group | rdsouza@worldbank.org |
2026-11-06
| 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 |
|---|---|
| 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 | |
|---|---|---|
| Brian William Stacy | World Bank Group | bstacy@worldbank.org |
| Reproducibility World Bank Group | World Bank Group | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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