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

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          Abstract

          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.

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          The Next Generation of the Penn World Table

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            Fertility trends by social status

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              • Record: found
              • Abstract: not found
              • Article: not found

              Changing Relationships between Education and Fertility: A Study of Women and Men Born 1940 to 1964

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                Author and article information

                Contributors
                marois@iiasa.ac.at
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                12 June 2024
                12 June 2024
                2024
                : 11
                : 612
                Affiliations
                [1 ]Asian Demographic Research Institute, School of Sociology and Political Sciences, Shanghai University, ( https://ror.org/006teas31) Shanghai, China
                [2 ]GRID grid.10420.37, ISNI 0000 0001 2286 1424, International Institute for Applied Systems Analysis, Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, , Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna), ; Laxenburg, Austria
                [3 ]Department of Economics, Vienna University of Economics and Business (WU), ( https://ror.org/03yn8s215) Vienna, Austria
                [4 ]GRID grid.424791.d, ISNI 0000 0001 2111 0979, Education and Employment research group, , Institute for Advanced Studies (IHS), ; Vienna, Austria
                Author information
                http://orcid.org/0000-0002-2701-6286
                Article
                3466
                10.1038/s41597-024-03466-y
                11169355
                38866798
                6e6650e1-c298-4ccb-b1c4-2305dd682bdd
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 January 2024
                : 3 June 2024
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 72250610226
                Award Recipient :
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                © Springer Nature Limited 2024

                economics,sociology,developing world
                economics, sociology, developing world

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