A dataset of human capital-weighted population estimates for 185 countries from 1970 to 2100

Marois, G. ORCID: https://orcid.org/0000-0002-2701-6286, Crespo Cuaresma, J., Zellmann, J., & Reiter, C. ORCID: https://orcid.org/0000-0002-1485-3851 (2024). A dataset of human capital-weighted population estimates for 185 countries from 1970 to 2100. Scientific Data 11 (1) e612. 10.1038/s41597-024-03466-y.

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We provide a novel dataset of human capital-weighted population size (HCWP) for 185 countries from 1970 to 2100. HCWP summarizes a population's productive capacity and human capital heterogeneity in a single metric, enabling comparisons across countries and over time. The weights are derived from Mincerian earnings functions applied to multi-country census data on educational attainment. The model used to compute the returns to schooling accounts for the diminishing positive relative relationship between education and wages as the overall education of populations rises. The population weights are adjusted by a skills assessment factor representing differences in education quality across countries and years. HCWP is calculated by applying these adjusted human capital weights to population estimates and projections disaggregated by age, sex and education, spanning the period 1970-2020 and 2020-2100 for five Shared Socioeconomic Pathway scenarios. Validation analyses demonstrate the utility of the new HCWP data in explaining national income trends. As a more comprehensive population measure than basic size and age-sex indicators, HCWP enhances the power of statistical models aimed at the assessment of socioeconomic change impacts and forecasting.

Item Type: Article
Research Programs: Population and Just Societies (POPJUS)
Population and Just Societies (POPJUS) > Multidimensional Demographic Modeling (MDM)
Population and Just Societies (POPJUS) > Migration and Sustainable Development (MIG)
Population and Just Societies (POPJUS) > Social Cohesion, Health, and Wellbeing (SHAW)
Depositing User: Luke Kirwan
Date Deposited: 13 Jun 2024 12:03
Last Modified: 13 Jun 2024 12:03
URI: https://pure.iiasa.ac.at/19812

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