IDEAS home Printed from https://ideas.repec.org/a/prs/ecstat/estat_0336-1454_2000_num_332_1_7537.html
   My bibliography  Save this article

Politiques salariales et performances des entreprises : une comparaison France/États-Unis

Author

Listed:
  • John M. Abowd
  • Francis Kramarz
  • David N. Margolis
  • Kenneth R. Troske

Abstract

[fre] La plupart des théories spécifiant le mode de détermination du salaire (salaire d’efficience, négociation salariale, etc.) apparues au cours des 20 dernières années cherchent à caractériser des situations éloignées du modèle de concurrence parfaite. Les tests empiriques de ces différentes théories se sont révélés jusqu’à présent peu concluants. L’absence de données caractérisant simultanément la situation des travailleurs et celle de l’entreprise expliquait les difficultés rencontrées. De telles données sont maintenant disponibles. Elles rendent possibles des comparaisons internationales (France/ États-Unis) utilisant à la fois des informations sur les individus et sur les entreprises qui les emploient pour mettre en relation politique de rémunération et performance des entreprises. Le salaire est décomposé à cet effet en une mesure de la rémunération des caractéristiques individuelles connues à partir des enquêtes, une mesure de la politique de rémunération de l’établissement ou de l’entreprise, appelée effet d’établissement ou d’entreprise, et un résidu. Ces composantes sont reliées à la structure et aux résultats économiques de l’entreprise. La variabilité des rémunérations est plus élevée aux États-Unis qu’en France, où le salaire minimum contribue à resserrer l’éventail des rémunérations. Pour des raisons proches (rôle des conventions collectives, en particulier), les caractéristiques individuelles et les effets d’établissement expliquent mieux cette variabilité en France qu’aux États-Unis. De manière plus surprenante, et malgré des différences institutionnelles importantes, les différentes composantes de la rémunération sont corrélées de la même façon dans les deux pays, sans qu’il soit possible d’avancer d’explication. Ainsi, en France comme aux États-Unis, les salariés les mieux rémunérés, du fait de caractéristiques individuelles ou de la politique de rémunération de l’établissement, sont employés dans des entreprises où la productivité du travail est plus élevée. Toutefois, une rémunération plus élevée due à la politique de rémunération propre à l’entreprise est associée à une profitabilité élevée en France et, au contraire, faible aux États-Unis. Enfin, le secteur d’activité joue un rôle plus important aux États-Unis qu’en France dans la détermination de la performance des entreprises, alors que c’est l’inverse pour la rémunération. La plus forte compétitivité du marché du travail aux États-Unis pourrait expliquer ces résultats.

Suggested Citation

  • John M. Abowd & Francis Kramarz & David N. Margolis & Kenneth R. Troske, 2000. "Politiques salariales et performances des entreprises : une comparaison France/États-Unis," Économie et Statistique, Programme National Persée, vol. 332(1), pages 27-38.
    • Handle: RePEc:prs:ecstat:estat_0336-1454_2000_num_332_1_7537
    DOI: 10.3406/estat.2000.7537
    Note: DOI:10.3406/estat.2000.7537
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/estat.2000.7537
    Download Restriction: no
    File URL: https://www.persee.fr/doc/estat_0336-1454_2000_num_332_1_7537
    Download Restriction: no
    File URL: https://libkey.io/10.3406/estat.2000.7537?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth R. Troske, 1998. "The Worker-Establishment Characteristics Database," NBER Chapters, in: Labor Statistics Measurement Issues, pages 371-404, National Bureau of Economic Research, Inc.
    2. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    3. repec:eee:labchp:v:1:y:1986:i:c:p:525-602 is not listed on IDEAS
    4. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710, Elsevier.
    5. Robert H Mcguckin & George A Pascoe, 1988. "The Longitudinal Research Database (LRD): Status And Research Possibilities," Working Papers 88-2, Center for Economic Studies, U.S. Census Bureau.
    6. Harold Hotelling, 1932. "Edgeworth's Taxation Paradox and the Nature of Demand and Supply Functions," Journal of Political Economy, University of Chicago Press, vol. 40(5), pages 577-577.
    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. Guillaume Destré & Louis Lévy-Garboua & Michel Sollogoub, 2005. "On-the-job learning and earnings," Cahiers de la Maison des Sciences Economiques bla05022, Université Panthéon-Sorbonne (Paris 1).
    2. repec:dau:papers:123456789/4462 is not listed on IDEAS
    3. Florence Jany-Catrice, 2004. "Une analyse socioéconomique de l'emploi dans l'hôtellerie-restauration en France et aux Etats-Unis," Post-Print halshs-00282271, HAL.
    4. Christophe Muller & Christophe Nordman, 2004. "Which Human Capital Matters For Rich And Poor'S Wages: Evidence From Matched Worker-Firm Data From Tunisia," Working Papers. Serie AD 2004-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Christophe Muller & Christophe Nordman, 2005. "Human capital and wages in two leading industries in Tunisia: evidence from matched worker-firm data," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 48(1-2), pages 183-208.
    6. Destré, Guillaume & Lévy-Garboua, Louis & Sollogoub, Michel, 2008. "Learning from experience or learning from others?: Inferring informal training from a human capital earnings function with matched employer-employee data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(3), pages 919-938, June.
    7. Guillaume Destré, 2003. "Fonctions de gains et diffusion du savoir : une estimation sur données françaises appariées," Économie et Prévision, Programme National Persée, vol. 158(2), pages 89-104.
    8. Destré, Guillaume & Nordman, Christophe, 2002. "Les effets de la formation informelle sur les gains : une comparaison sur données appariées françaises, marocaines et tunisiennes," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(2), pages 179-206, Juin.
    9. Guillaume Destré, 2005. "Une mesure économétrique de la formation par les autres au sein de l'entreprise," Cahiers de la Maison des Sciences Economiques bla05021, Université Panthéon-Sorbonne (Paris 1).

    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. Abowd, John M. & Kramarz, Francis & Margolis, David N. & Troske, Kenneth R., 2001. "The Relative Importance of Employer and Employee Effects on Compensation: A Comparison of France and the United States," Journal of the Japanese and International Economies, Elsevier, vol. 15(4), pages 419-436, December.
    2. repec:eee:labchp:v:3:y:1999:i:pb:p:2629-2710 is not listed on IDEAS
    3. John M. Abowd & John Haltiwanger & Julia Lane & Kevin L. McKinney & Kristin Sandusky, 2007. "Technology and the Demand for Skill:An Analysis of Within and Between Firm Differences," NBER Working Papers 13043, National Bureau of Economic Research, Inc.
    4. Merkuryeva, Irina S. & Paramonova, Elena N. & Bitina, Julia M. & Gilchenok, Veronika L., 2006. "Economic analysis based on matched employer-employee data: Methodology of data collection and research," Working Papers 805, Graduate School of Management, St. Petersburg State University.
    5. Judith K. Hellerstein & David Neumark, 2006. "Using Matched Employer–Employee Data to Study Labor Market Discrimination," Chapters, in: William M. Rodgers III (ed.), Handbook on the Economics of Discrimination, chapter 2, Edward Elgar Publishing.
    6. Beatriz Muriel Hernández, 2016. "An Analysis of Firm Characteristics as Earnings Determinants: The Urban Bolivia Case," Development Research Working Paper Series 04/2016, Institute for Advanced Development Studies.
    7. Judith K. Hellerstein & David Neumark, 2003. "Ethnicity, Language, and Workplace Segregation: Evidence from a New Matched Employer-Employee Data Set," Annals of Economics and Statistics, GENES, issue 71-72, pages 1-15.
    8. John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32.
    9. Ronald Bachmann & Peggy Bechara, 2019. "The Importance of Two‐Sided Heterogeneity for the Cyclicality of Labour Market Dynamics," Manchester School, University of Manchester, vol. 87(6), pages 794-820, December.
    10. Boockmann, Bernhard & Steffes, Susanne, 2005. "Individual and Plant-level Determinants of Job Durations in Germany," ZEW Discussion Papers 05-89, ZEW - Leibniz Centre for European Economic Research.
    11. Moser, Christian, 2016. "How Could Wage Inequality Within and Across Enterprises be Reduced?," MPRA Paper 95381, University Library of Munich, Germany.
    12. Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022. "The gender wage gap in Myanmar: Adding insult to injury?," Journal of Asian Economics, Elsevier, vol. 81(C).
    13. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    14. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    15. Elhanan Helpman & Oleg Itskhoki & Stephen Redding, 2010. "Inequality and Unemployment in a Global Economy," Econometrica, Econometric Society, vol. 78(4), pages 1239-1283, July.
    16. Christophe Muller & Christophe J. Nordman, 2008. "Intra-Firm Human Capital Externalities in Tunisia," THEMA Working Papers 2008-38, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    17. Sébastien Breau & David L. Rigby, 2006. "Is There Really an Export Wage Premium? A Case Study of Los Angeles Using Matched Employee-Employer Data," International Regional Science Review, , vol. 29(3), pages 297-310, July.
    18. Christophe Muller & Christophe Nordman, 2004. "Which Human Capital Matters For Rich And Poor'S Wages: Evidence From Matched Worker-Firm Data From Tunisia," Working Papers. Serie AD 2004-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    19. John M. Abowd & Felipe Balmaceda & David Kaplan., "undated". "Accounting Profits, Market Profits, and the Compensation of Regular Employees," ILADES-UAH Working Papers inv119, Universidad Alberto Hurtado/School of Economics and Business.
    20. Munch, Jakob Roland & Skaksen, Jan Rose, 2008. "Human capital and wages in exporting firms," Journal of International Economics, Elsevier, vol. 75(2), pages 363-372, July.
    21. Jesse Rothstein, 2007. "Do Value-Added Models Add Value? Tracking, Fixed Effects, and Causal Inference," Working Papers 1036, Princeton University, Department of Economics, Center for Economic Policy Studies..

    More about this item

    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:prs:ecstat:estat_0336-1454_2000_num_332_1_7537. 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: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/estat .

    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.