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Forecasting Human Capital of EU Member Countries Accounting for Sociocultural Determinants

Author

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  • Guillaume MAROIS

    (World Poupulation Program, International Institute for Applied Systems Analysis)

  • Patrick SABOURIN

    (World Poupulation Program, International Institute for Applied Systems Analysis)

  • Alain BÉLANGER

    (Centre Urbanisation Culture Société, Institut National de la Recherche Scientifique)

Abstract

Inclusion of additional dimensions to population projections can lead to an improvement in the overall quality of the projections and to an enhanced analytical potential of derived projections such as literacy skills and labor force participation. This paper describes the modeling of educational attainment of a microsimulation projection model of the European Union countries. Using ordered logistic regressions on five waves of the European Social Survey, we estimate the impact of mother's education and other sociocultural characteristics on educational attainment and implement them into the microsimulation model. Results of the different projection scenarios are contrasted to understand how the education of the mother and sociocultural variables may affect projection outcomes. We show that a change in the impact of mother's education on children's educational attainment may have a big effect on future trends. Moreover, the proposed approach yields more consistent population projection outputs for specific subpopulations.

Suggested Citation

  • Guillaume MAROIS & Patrick SABOURIN & Alain BÉLANGER, 2019. "Forecasting Human Capital of EU Member Countries Accounting for Sociocultural Determinants," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 85(3), pages 231-269, September.
    • Handle: RePEc:ctl:louvde:v:85:y:2019:i:3:p:231-269
    DOI: 10.1017/dem.2019.4
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    References listed on IDEAS

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    Cited by:

    1. Michael Christl & Alain Bélanger & Alessandra Conte & Jacopo Mazza & Edlira Narazani, 2022. "Projecting the fiscal impact of immigration in the European Union," Fiscal Studies, John Wiley & Sons, vol. 43(4), pages 365-385, December.
    2. Michaela Potančoková & Guillaume Marois, 2020. "Projecting future births with fertility differentials reflecting women’s educational and migrant characteristics," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 18(1), pages 141-166.
    3. René Böheim & Thomas Horvath & Thomas Leoni & Martin Spielauer, 2023. "The Impact of Health and Education on Labor Force Participation in Aging Societies: Projections for the United States and Germany from Dynamic Microsimulations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-35, June.

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    More about this item

    Keywords

    Projection; Education; European Union; Europe; Microsimulation; Sociocultural; Human Capital; Population;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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