IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-03206905.html
   My bibliography  Save this paper

Productivité du travail : la fin du processus de convergence ?

Author

Listed:
  • Clément Bosquet

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Michel Fouquin

    (CEPII - Centre d'Etudes Prospectives et d'Informations Internationales - Centre d'analyse stratégique)

Abstract

[fre] Entre 1950 et 1973, un processus de convergence des niveaux de productivité du travail était observable entre les États-Unis, considérés comme le leader technologique du monde, et les pays d’Europe de l’Ouest et le Japon. Mais ce processus s’est progressivement atténué pour disparaître complètement depuis 1995. Cette étude vise à expliquer les raisons de l’interruption de ce processus de convergence. À cette fin, elle utilise les tests économétriques développés par Bai et Perron pour déterminer les dates de rupture des tendances. Aux États-Unis, la croissance de la productivité du travail accélère à partir de 1992, tandis qu’elle ralentit dans la plupart des pays européens. Le progrès technologique, lié au développement des technologies de l’information et de la communication (TIC), explique une partie du regain de la productivité du travail aux États-Unis, mais en revanche, il ne cadre pas avec le ralentissement de la croissance de la productivité du travail en Europe. En effet, même si son taux d’investissement en TIC est en retrait par rapport à celui des États-Unis, il s’est accru considérablement. Une explication essentielle tient à l’intensité du contenu en emplois de la croissance. Alors qu’il diminue nettement aux États-Unis, il s’accroît sensiblement en Europe où il permet de réduire le chômage de masse. Les données les plus récentes, pour l’année 2008, confirment le diagnostic de non-convergence des tendances de productivité du travail. [ger] Zwischen 1950 und 1973 fand zwischen der Arbeitsproduktivität der Vereinigten Staaten, die als weltweit technologisch führend galten, und der westeuropäischen Länder und Japans eine Konvergenz statt. Dieser Prozess hat sich jedoch schrittweise verlangsamt und kam 1995 vollständig zum Erliegen. Diese Studie soll die Gründe für die Unterbrechung dieses Prozesses erklären. Zu diesem Zweck werden die von Bai und Perron entwickelten ökonometrischen Tests herangezogen, um die Zeitpunkte der Unterbrechung dieser Trends
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Clément Bosquet & Michel Fouquin, 2008. "Productivité du travail : la fin du processus de convergence ?," Post-Print halshs-03206905, HAL.
  • Handle: RePEc:hal:journl:halshs-03206905
    DOI: 10.3406/estat.2008.7730
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kyoji Fukao & Tsutomu Miyagawa & Kentaro Mukai & Yukio Shinoda & Konomi Tonogi, 2009. "Intangible Investment In Japan: Measurement And Contribution To Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 717-736, September.
    2. Hervé Le Bihan, 2004. "Tests de rupture : une application au PIB tendanciel français," Economie & Prévision, La Documentation Française, vol. 163(2), pages 133-154.
    3. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.
    4. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
    5. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    6. Gilbert Cette & Michael Fouquin & Hans-Werner Sinn (ed.), 2007. "Divergences in Productivity Between Europe and the United States," Books, Edward Elgar Publishing, number 12971.
    7. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    8. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    9. Maury, P-M. & Pluyaud, B., 2004. "The Breaks in per Capita Productivity Trends in a Number of Industrial Countries," Working papers 111, Banque de France.
    10. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    11. Johanna Melka & Laurence Nayman, 2004. "TIC et productivite : une comparaison internationale," Economie Internationale, CEPII research center, issue 98, pages 35-57.
    12. Martin Neil Baily & Robert Z. Lawrence, 2004. "What Happened to the Great U.S. Job Machine? The Role of Trade and Electronic Offshoring," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(2), pages 211-284.
    13. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    14. Hervé Boulhol & Laure Turner, 2009. "Employment-Productivity Trade-off and Labour Composition," OECD Economics Department Working Papers 698, OECD Publishing.
    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. repec:spo:wpmain:info:hdl:2441/5l6uh8ogmqildh09h61qna0rp is not listed on IDEAS
    2. Éric Heyer & Mathieu Plane & Xavier Timbeau, 2010. "Quelle dette publique à l'horizon 2030 en France ?," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 5-33.
    3. Bergeaud, A. & Cette, G. & Lecat, R., 2015. "Productivity trends from 1890 to 2012 in advanced countries," Rue de la Banque, Banque de France, issue 07, June..
    4. Denis Carré & Nadine Levratto & Messaoud Zouikri, 2010. "Analyse comparée de la productivité des firmes européennes à partir de données comptables: L'effet pays en cause," EconomiX Working Papers 2010-11, University of Paris Nanterre, EconomiX.
    5. Catherine Bruneau & Pierre-Luis Girard, 2021. "Labor Productivity in France: Is the Slowdown of its Growth Inevitable or are there Levers to fight it?," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 7(1), pages 9-40, January.
    6. Antonin Bergeaud & Gilbert Cette & Rémy Lecat, 2016. "Productivity Trends in Advanced Countries between 1890 and 2012," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 420-444, September.
    7. repec:hal:spmain:info:hdl:2441/5l6uh8ogmqildh09h61qna0rp is not listed on IDEAS

    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. Clément Bosquet & Michel Fouquin, 2008. "Productivité du travail : la fin du processus de convergence ?," Économie et Statistique, Programme National Persée, vol. 419(1), pages 125-142.
    2. Hervé Le Bihan, 2004. "Tests de ruptures : une application au PIB tendanciel français," Économie et Prévision, Programme National Persée, vol. 163(2), pages 133-154.
    3. Kurozumi, Eiji & Tuvaandorj, Purevdorj, 2011. "Model selection criteria in multivariate models with multiple structural changes," Journal of Econometrics, Elsevier, vol. 164(2), pages 218-238, October.
    4. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    5. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
    6. Eo, Yunjong & Morley, James C., 2008. "Likelihood-Based Confidence Sets for the Timing of Structural Breaks," MPRA Paper 10372, University Library of Munich, Germany.
    7. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
    8. Aue, Alexander & Horváth, Lajos & Hušková, Marie, 2012. "Segmenting mean-nonstationary time series via trending regressions," Journal of Econometrics, Elsevier, vol. 168(2), pages 367-381.
    9. Benati, Luca, 2007. "Drift and breaks in labor productivity," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2847-2877, August.
    10. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    11. Dakpogan, Arnaud & Smit, Eon, 2018. "The effect of electricity losses on GDP in Benin," MPRA Paper 89545, University Library of Munich, Germany.
    12. Kerekes, Monika, 2007. "Analyzing patterns of economic growth: a production frontier approach," Discussion Papers 2007/15, Free University Berlin, School of Business & Economics.
    13. Boldea, Otilia & Hall, Alastair R., 2013. "Estimation and inference in unstable nonlinear least squares models," Journal of Econometrics, Elsevier, vol. 172(1), pages 158-167.
    14. Pierre Perron & Yohei Yamamoto & Jing Zhou, 2020. "Testing jointly for structural changes in the error variance and coefficients of a linear regression model," Quantitative Economics, Econometric Society, vol. 11(3), pages 1019-1057, July.
    15. Mohitosh Kejriwal, 2020. "A Robust Sequential Procedure for Estimating the Number of Structural Changes in Persistence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 669-685, June.
    16. Ngai Hang Chan & Chun Yip Yau & Rong-Mao Zhang, 2014. "Group LASSO for Structural Break Time Series," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 590-599, June.
    17. , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
    18. Seong Yeon Chang & Pierre Perron, 2016. "Inference on a Structural Break in Trend with Fractionally Integrated Errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 555-574, July.
    19. Oka, Tatsushi & Perron, Pierre, 2018. "Testing for common breaks in a multiple equations system," Journal of Econometrics, Elsevier, vol. 204(1), pages 66-85.
    20. Hui Hong & Zhicun Bian & Chien-Chiang Lee, 2021. "COVID-19 and instability of stock market performance: evidence from the U.S," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.

    More about this item

    JEL classification:

    • 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
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:hal:journl:halshs-03206905. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.