IDEAS home Printed from https://ideas.repec.org/p/aim/wpaimx/2425.html
   My bibliography  Save this paper

Workforce Aging and Potential Output Growth

Author

Abstract

In the literature on secular stagnation, demographic aging is widely blamed for lowering the IS curve of aggregate demand and therefore the natural interest rate. However, very little is said about the impact of workforce aging on long-term aggregate supply, or so-called potential GDP. To fill this gap, this study delves into the effects of workforce aging on two key components of the remarkably sluggish potential GDP growth of developed countries: hours worked and labour productivity. First, using a novel macro-accounting decomposition of EU-KLEMS data, we find that old-labour input has the highest contribution to growth, through both increased hours worked and shifts in labour composition in the EU, US and Japan. Second, we use panel stochastic frontier models highlighting that, however, old workers have an adverse effect on labour productivity growth frontier—though increasing technical efficiency, i.e., reducing the distance to this frontier.

Suggested Citation

  • Mathilde Esposito, 2024. "Workforce Aging and Potential Output Growth," AMSE Working Papers 2425, Aix-Marseille School of Economics, France.
  • Handle: RePEc:aim:wpaimx:2425
    as

    Download full text from publisher

    File URL: https://www.amse-aixmarseille.fr/sites/default/files/working_papers/wp_2024_-_nr_25.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    2. Etienne Gagnon & Benjamin K. Johannsen & David López-Salido, 2021. "Understanding the New Normal: The Role of Demographics," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 69(2), pages 357-390, June.
    3. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    4. Carvalho, Carlos & Ferrero, Andrea & Nechio, Fernanda, 2016. "Demographics and real interest rates: Inspecting the mechanism," European Economic Review, Elsevier, vol. 88(C), pages 208-226.
    5. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    6. Lawrence H Summers, 2014. "U.S. Economic Prospects: Secular Stagnation, Hysteresis, and the Zero Lower Bound," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(2), pages 65-73, April.
    7. Matteo Cervellati & Uwe Sunde & Klaus F. Zimmermann, 2017. "Demographic dynamics and long-run development: insights for the secular stagnation debate," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(2), pages 401-432, April.
    8. Robert J. Gordon, 2015. "Secular Stagnation: A Supply-Side View," American Economic Review, American Economic Association, vol. 105(5), pages 54-59, May.
    9. Weifeng Liu & Warwick McKibbin, 2022. "Global macroeconomic impacts of demographic change," The World Economy, Wiley Blackwell, vol. 45(3), pages 914-942, March.
    10. Gauti B. Eggertsson & Neil R. Mehrotra & Jacob A. Robbins, 2019. "A Model of Secular Stagnation: Theory and Quantitative Evaluation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 1-48, January.
    11. Davis, Colin & Hashimoto, Ken-ichi & Tabata, Ken, 2022. "Demographic structure, knowledge diffusion, and endogenous productivity growth," Journal of Macroeconomics, Elsevier, vol. 71(C).
    12. Giuseppe Ferrero & Marco Gross & Stefano Neri, 2019. "On secular stagnation and low interest rates: Demography matters," International Finance, Wiley Blackwell, vol. 22(3), pages 262-278, December.
    13. Yunus Aksoy & Henrique S. Basso & Ron P. Smith & Tobias Grasl, 2019. "Demographic Structure and Macroeconomic Trends," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 193-222, January.
    14. Papetti, Andrea, 2021. "Demographics and the natural real interest Rate: historical and projected paths for the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 132(C).
    15. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    16. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    17. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    18. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    19. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    20. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    21. Thomas Ziesemer & Anne von Gässler, 2021. "Ageing, human capital and demographic dividends with endogenous growth, labour supply and foreign capital," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 20(2), pages 129-160, May.
    22. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    23. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    24. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(8), pages 669-692, November.
    25. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    26. Giorgio Brunello & Patricia Wruuck, 2021. "Skill shortages and skill mismatch: A review of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1145-1167, September.
    27. Vladimír Holý & Tomáš Evan, 2022. "The role of a nation’s culture in the country’s governance: Stochastic frontier analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 507-520, June.
    28. Arthur Jacobs & Freddy Heylen, 2021. "Demographic change, secular stagnation and inequality: automation as a blessing?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1030, Ghent University, Faculty of Economics and Business Administration.
    29. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    30. Mr. Shekhar Aiyar & Mr. Christian H Ebeke, 2016. "The Impact of Workforce Aging on European Productivity," IMF Working Papers 2016/238, International Monetary Fund.
    31. Weifeng Larry Liu & Warwick McKibbin, 2022. "Macroeconomic Impacts of Global Demographic Change: The Case of Australia," Asian Economic Papers, MIT Press, vol. 21(3), pages 78-111, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gilles Dufrénot & Mathilde Esposito & Eva Moreno-Galbis, 2024. "Demographic Winter, Economic Structure and Productivity in Japan," AMSE Working Papers 2426, Aix-Marseille School of Economics, France.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gilles Dufrénot & Mathilde Esposito & Eva Moreno-Galbis, 2024. "Demographic Winter, Economic Structure and Productivity in Japan," AMSE Working Papers 2426, Aix-Marseille School of Economics, France.
    2. Emerson, Patrick & Knabb, Shawn & Sirbu, Anca-Ioana, 2024. "Does the old-age dependency ratio place a drag on secular growth?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1056-1070.
    3. Andrea Papetti, 2021. "Population aging, relative prices and capital flows across the globe," Temi di discussione (Economic working papers) 1333, Bank of Italy, Economic Research and International Relations Area.
    4. Trunin, Pavel (Трунин, Павел) & Bozhechkova, Alexandra (Божечкова, Александра) & Petrova, Diana (Петрова, Диана) & Chaikina, Anastasiia (Чайкина, Анастасия) & Nikanorov, Ivan (Никаноров, Иван), 2018. "Analysis of Approaches to Studying the Problem of Long-Term Stagnation in Modern Economies [Анализ Подходов К Изучению Проблемы Долговременной Стагнации В Современных Экономиках]," Working Papers 031810, Russian Presidential Academy of National Economy and Public Administration.
    5. Karel Brůna & Jiří Pour, 2023. "Population aging and structural over/underinvestment," Economic Change and Restructuring, Springer, vol. 56(4), pages 2339-2383, August.
    6. Keller, Michael, 2020. "Wasted windfalls: Inefficiencies in health care spending in oil rich countries," Resources Policy, Elsevier, vol. 66(C).
    7. Auclert, Adrien & Malmberg, Hannes & Martenet, Frederic & Rognlie, Matthew, 2021. "Demographics, Wealth, and Global Imbalances in the Twenty-First Century," CEPR Discussion Papers 16470, C.E.P.R. Discussion Papers.
    8. Arthur Jacobs & Freddy Heylen, 2021. "Demographic change, secular stagnation and inequality: automation as a blessing?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1030, Ghent University, Faculty of Economics and Business Administration.
    9. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    10. Kopecky, Joseph, 2023. "Population age structure and secular stagnation: Evidence from long run data," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    11. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    12. Marx, Magali & Mojon, Benoît & Velde, François R., 2021. "Why have interest rates fallen far below the return on capital?," Journal of Monetary Economics, Elsevier, vol. 124(S), pages 57-76.
    13. Nadide YiÄŸiteli, 2023. "Production Losses Due to Technical Inefficiency: A Panel Data Analysis on the Case of BRICS-T Countries," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 53-73, June.
    14. Joseph Kopecky Author-1-Name-First: Joseph Author-1-Name-Last: Kopecky, 2023. "Population age structure and secular stagnation: Evidence from long run data," Trinity Economics Papers tep0526, Trinity College Dublin, Department of Economics.
    15. Bodnár, Katalin & Nerlich, Carolin, 2022. "The macroeconomic and fiscal impact of population ageing," Occasional Paper Series 296, European Central Bank.
    16. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    17. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    18. Dilian Vassilev, 2020. "Secular stagnation – the origin of the concept, a review of the scientific literature and the nature of the academic debate," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 137-158.
    19. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    20. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.

    More about this item

    Keywords

    Demographic Aging; Potential Growth; Labour Input; Stochastic Frontier Analysis; Labour Productivity and EU-KLEMS;
    All these keywords.

    JEL classification:

    • 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
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aim:wpaimx:2425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gregory Cornu (email available below). General contact details of provider: https://edirc.repec.org/data/amseafr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.