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The Impact of Health and Education on Labor Force Participation in Aging Societies: Projections for the United States and Germany from Dynamic Microsimulations

Author

Listed:
  • René Böheim

    (Johannes Kepler University Linz and Austrian Institute of Economic Research (WIFO)
    Austrian Institute of Economic Research (WIFO))

  • Thomas Horvath

    (Austrian Institute of Economic Research (WIFO))

  • Thomas Leoni

    (University of Applied Sciences Wiener Neustadt)

  • Martin Spielauer

    (Austrian Institute of Economic Research (WIFO))

Abstract

We project the labor force in the United States to 2060 and contrast the outcomes with comparative projections for Germany. In both countries, the population will age, but the demographic dynamics are fundamentally different. According to our dynamic microsimulations, the labor force in the U.S. will increase by 17 percent between 2020 and 2060 (about 29 million workers) despite population aging. In contrast, the labor force in Germany will decline by 11 percent (about 4.5 million workers). Our baseline projections indicate that an expansion of education will increase the labor force by about 3 million persons in the United States and about half a million persons in Germany by 2060. In several what-if scenarios, we examine the effects of further expanding education and of removing health barriers on labor force participation. Higher educational attainment among those with currently low education has the largest impact on labor force participation, relative to the additional years of schooling. However, health improvements and the labor market integration of people with health limitations suggest a larger increase in labor force participation rates. Using Sweden as a benchmark, we show that reducing the health participation gap would increase the U.S. labor force by as much as 13 million people in 2060 (+6.8 percent compared to our baseline).

Suggested Citation

  • 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.
    • Handle: RePEc:kap:poprpr:v:42:y:2023:i:3:d:10.1007_s11113-023-09781-3
    DOI: 10.1007/s11113-023-09781-3
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    1. Johannes Amann & René Böheim & Thomas Horvath & Thomas Leoni & Martin Spielauer, 2021. "The microWELT-US Microsimulation Model for Projections of the US Labour Force Participation Accounting for Education and Health. Technical Report," WIFO Studies, WIFO, number 67943, April.
    2. Francisco Perez‐Arce & María J. Prados, 2021. "The Decline In The U.S. Labor Force Participation Rate: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 615-652, April.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. James Browne & Herwig Immervoll, 2017. "Mechanics of replacing benefit systems with a basic income: comparative results from a microsimulation approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 325-344, December.
    5. Petter Lundborg, 2013. "The health returns to schooling—what can we learn from twins?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(2), pages 673-701, April.
    6. James Poterba & Steven Venti & David A. Wise, 2013. "Health, Education, and the Postretirement Evolution of Household Assets," Journal of Human Capital, University of Chicago Press, vol. 7(4), pages 297-339.
    7. Michael Grossman, 2015. "The Relationship between Health and Schooling: What’s New?," NBER Working Papers 21609, National Bureau of Economic Research, Inc.
    8. Philip Hemmings & Christopher Prinz, 2020. "Sickness and disability systems: comparing outcomes and policies in Norway with those in Sweden, the Netherlands and Switzerland," OECD Economics Department Working Papers 1601, OECD Publishing.
    9. Daniela Del Boca, 2002. "The effect of child care and part time opportunities on participation and fertility decisions in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(3), pages 549-573.
    10. Marois, Guillaume & Sabourin, Patrick & Bélanger, Alain, 2019. "Forecasting human capital of EU member countries accounting for sociocultural determinants," Journal of Demographic Economics, Cambridge University Press, vol. 85(3), pages 231-269, September.
    11. Ben Baumberg Geiger & René Böheim & Thomas Leoni, 2018. "The growing American health penalty: International trends in the employment of older workers with poor health," Department of Economics Working Papers wuwp271, Vienna University of Economics and Business, Department of Economics.
    12. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    13. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    14. Avendano, M. & Glymour, M.M. & Banks, J. & Mackenbach, J.P., 2009. "Health disadvantage in US adults aged 50 to 74 years: A comparison of the health of rich and poor Americans with that of Europeans," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 540-548.
    15. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    16. 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.
    17. Agar Brugiavini & Axel B�rsch-Supan & Enrica Croda, 2008. "The Role of Institutions in European Patterns of Work and Retirement," Working Papers 2008_44, Department of Economics, University of Venice "Ca' Foscari".
    18. Martin Spielauer & Olivier Dupriez, 2019. "A Portable Dynamic Microsimulation Model for Population, Education and Health Applications in Developing Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 12(3), pages 6-27.
    19. Katharine G. Abraham & Melissa S. Kearney, 2020. "Explaining the Decline in the US Employment-to-Population Ratio: A Review of the Evidence," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 585-643, September.
    20. Pierre Koning & Maarten Lindeboom, 2015. "The Rise and Fall of Disability Insurance Enrollment in the Netherlands," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 151-172, Spring.
    21. Eide, Eric R. & Showalter, Mark H., 2011. "Estimating the relation between health and education: What do we know and what do we need to know?," Economics of Education Review, Elsevier, vol. 30(5), pages 778-791, October.
    22. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    23. Congressional Budget Office, 2021. "The 2021 Long-Term Budget Outlook," Reports 56977, Congressional Budget Office.
    24. Viola Angelini & Danilo Cavapozzi & Omar Paccagnella, 2011. "Dynamics of reporting work disability in Europe," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 621-638, July.
    25. Guillaume Marois & Patrick Sabourin & Alain Bélanger, 2019. "How reducing differentials in education and labor force participation could lessen workforce decline in the EU-28," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(6), pages 125-160.
    26. Ágota Scharle & Balázs Váradi & Flóra Samu, 2015. "Policy Convergence Across Welfare Regimes: The Case of Disability Policies. WWWforEurope Working Paper No. 76," WIFO Studies, WIFO, number 50914, April.
    27. Jennifer Van Hook & Alain Bélanger & Patrick Sabourin & Anne Morse, 2020. "Immigration Selection and the Educational Composition of the US Labor Force," Population and Development Review, The Population Council, Inc., vol. 46(2), pages 321-346, June.
    28. Patrick Laplagne & Maurice Glover & Anthony Shomos, 2007. "Effects of Health and Education on Labour Force Participation," Staff Working Papers 0704, Productivity Commission, Government of Australia.
    29. Adriaan Kalwij & Frederic Vermeulen, 2008. "Health and labour force participation of older people in Europe: What do objective health indicators add to the analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 17(5), pages 619-638, May.
    30. Thomas Horvath & Serguei Kaniovski & Thomas Leoni & Martin Spielauer & Thomas Url, 2021. "The Impact of Education and Health on Labour Force Participation and the Macroeconomic Consequences of Ageing," WIFO Studies, WIFO, number 67107, April.
    31. Folbre, Nancy, 1994. "Children as Public Goods," American Economic Review, American Economic Association, vol. 84(2), pages 86-90, May.
    32. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    33. Courtney C. Coile, 2018. "Working Longer in the United States: Trends and Explanations," NBER Chapters, in: Social Security Programs and Retirement around the World: Working Longer, pages 299-324, National Bureau of Economic Research, Inc.
    34. Alan B. Krueger, 2017. "Where Have All the Workers Gone? An Inquiry into the Decline of the U.S. Labor Force Participation Rate," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(2 (Fall)), pages 1-87.
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    More about this item

    Keywords

    Employment projections; Dynamic microsimulation; What-if-scenarios; Health;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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