IDEAS home Printed from https://ideas.repec.org/a/prs/ecoprv/ecop_0249-4744_2009_num_187_1_7873.html
   My bibliography  Save this article

Dynamique des salaires dans une cohorte

Author

Listed:
  • Thierry Magnac
  • Sébastien Roux

Abstract

[eng] This article examines 1976-1998 annual wage data for a male cohort entering the labor market in 1976. Thanks to the richness of the data, we can analyze wage dynamics during a portion of the cohort’s life cycle – unlike nearly all other studies on the subject, which are obliged to combine different cohorts in order to obtain a sufficient number of observations. We use a pseudo-maximum-likelihood method to estimate various dynamic ARMA panel models with individual effects and time-heterogeneous variances. The results indicate that wage variance, and therefore inequality, rise substantially at the start of the life cycle but appear to stagnate before the end of wage growth. Our estimates show that the process orders are significantly higher than those reported in the literature and are of the ARMA (4,2) type. The estimates highlight the weight of the permanent component reflecting individual effects, which accounts for 60 % of the variance of wage residuals. [fre] Dans cet article, nous examinons les données de salaires annuels, de 1976 à 1998, d’une cohorte d’hommes, entrés sur le marché du travail en 1976. La richesse des données nous permet d’analyser la dynamique des salaires, au cours d’une partie du cycle de vie de cette cohorte, à la différence de la quasi-totalité des autres études sur ce sujet, qui doivent mêler des cohortes différentes, pour avoir un nombre suffisant d’observations. Nous estimons, par pseudo-maximum de vraisemblance, différents modèles dynamiques de panel, de type ARMA, en présence d’effets individuels et de variances hétérogènes temporellement. Les résultats montrent que la variance des salaires, et donc l’inégalité, croît significativement, au cours du début de cycle de vie, mais semble stagner, avant l’arrêt de la croissance des salaires. L’estimation montre que les ordres des processus sont significativement plus élevés, que ceux avancés dans la littérature et sont du type ARMA (4,2). Ces estimations mettent en avant le poids de la composante permanente, liée aux effets individuels, qui rend compte de 60 % de la variance des résidus de salaires.

Suggested Citation

  • Thierry Magnac & Sébastien Roux, 2009. "Dynamique des salaires dans une cohorte," Économie et Prévision, Programme National Persée, vol. 187(1), pages 1-24.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2009_num_187_1_7873
    DOI: 10.3406/ecop.2009.7873
    Note: DOI:10.3406/ecop.2009.7873
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/ecop.2009.7873
    Download Restriction: no

    File URL: https://www.persee.fr/doc/ecop_0249-4744_2009_num_187_1_7873
    Download Restriction: no

    File URL: https://libkey.io/10.3406/ecop.2009.7873?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. Fabien Postel-Vinay & Hélène Turon, 2010. "On-The-Job Search, Productivity Shocks, And The Individual Earnings Process," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(3), pages 599-629, August.
    2. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    3. Alain Bayet, 1996. "Carrières continues, carrières incomplètes et salaires," Économie et Statistique, Programme National Persée, vol. 299(1), pages 21-36.
    4. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    5. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    6. Peter Gottschalk & Robert Moffitt, 1994. "The Growth of Earnings Instability in the U.S. Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(2), pages 217-272.
    7. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-375, April.
    8. Yves Guillotin & Patrick Sevestre, 1994. "Estimations de fonctions de gains sur données de panel : endogéneité du capital humain et effets de la sélection," Économie et Prévision, Programme National Persée, vol. 116(5), pages 119-135.
    9. Kezdi, Gabor & Hahn, Jinyong & Solon, Gary, 2002. "Jackknife minimum distance estimation," Economics Letters, Elsevier, vol. 76(1), pages 35-45, June.
    10. Joel L. Horowitz, 1998. "Bootstrap Methods for Covariance Structures," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 39-61.
    11. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    12. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    13. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    14. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    15. Keisuke Hirano, 2002. "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
    16. Joel L. Horowitz & Marianthi Markatou, 1996. "Semiparametric Estimation of Regression Models for Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(1), pages 145-168.
    17. Stefan Lollivier & Jean-François Payen, 1990. "L'hétérogénéité des carrières individuelles mesurée sur données de panel," Économie et Prévision, Programme National Persée, vol. 92(1), pages 87-95.
    18. Ramalho Joaquim J.S., 2005. "Small Sample Bias of Alternative Estimation Methods for Moment Condition Models: Monte Carlo Evidence for Covariance Structures," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-20, March.
    19. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    20. Hause, John C, 1980. "The Fine Structure of Earnings and the On-the-Job Training Hypothesis," Econometrica, Econometric Society, vol. 48(4), pages 1013-1029, May.
    21. Dominique Goux & Éric Maurin, 1994. "Éducation, expérience et salaire," Économie et Prévision, Programme National Persée, vol. 116(5), pages 155-178.
    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 Allègre & Thomas Melonio & Xavier Timbeau, 2012. "Dépenses publiques d'éducation et inégalités. Une perspective de cycle de vie," Revue économique, Presses de Sciences-Po, vol. 63(6), pages 1055-1079.
    2. Pora, Pierre & Wilner, Lionel, 2020. "A decomposition of labor earnings growth: Recovering Gaussianity?," Labour Economics, Elsevier, vol. 63(C).
    3. Stephen Jenkins & Philippe Van Kerm, 2014. "The Relationship Between EU Indicators of Persistent and Current Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 611-638, April.
    4. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post schooling human capital investments and the life cycle variance of earnings," TSE Working Papers 13-380, Toulouse School of Economics (TSE).
    5. Fabienne Berton & Jean-Pierre Huiban & Frédérique Nortier, 2011. "Les carrières salariales des hommes et des femmes : quelle convergence sur longue période ?," Post-Print halshs-00644181, HAL.
    6. Smolkin, Anton (Смолькин, Антон), 2017. "The Social Status of the Elderly in the Practice of Everyday Interaction in Public Places [Социальный Статус Пожилых Людей В Практиках Повседневного Взаимодействия В Общественных Местах]," Working Papers 041717, Russian Presidential Academy of National Economy and Public Administration.
    7. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9jipk5i5h7 is not listed on IDEAS
    8. repec:hal:spmain:info:hdl:2441/5l6uh8ogmqildh09h84a0it2m is not listed on IDEAS
    9. Sévane Ananian & Oana Calavrezo, 2011. "Les trajectoires salariales des individus payés au voisinage du Smic dans le secteur privé. Une analyse empirique sur données françaises entre 1995 et 2007," Économie et Statistique, Programme National Persée, vol. 448(1), pages 49-78.

    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. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post schooling human capital investments and the life cycle variance of earnings," TSE Working Papers 13-380, Toulouse School of Economics (TSE).
    2. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    3. Fatih Karahan & Serdar Ozkan, 2013. "On the Persistence of Income Shocks over the Life Cycle: Evidence, Theory, and Implications," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 452-476, July.
    4. L. Hospido, 2012. "Modelling heterogeneity and dynamics in the volatility of individual wages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 386-414, April.
    5. Robert Moffitt & Peter Gottschalk, 2008. "Trends in the Transitory Variance of Male Earnings in the U.S., 1970-2004," Boston College Working Papers in Economics 697, Boston College Department of Economics.
    6. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    7. Robert Moffitt & Sisi Zhang, 2018. "Income Volatility and the PSID: Past Research and New Results," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 277-280, May.
    8. Masakatsu Okubo, 2015. "Earnings Dynamics and Profile Heterogeneity: Estimates from Japanese Panel Data," The Japanese Economic Review, Japanese Economic Association, vol. 66(1), pages 112-146, March.
    9. Cappellari, Lorenzo, 2000. "The dynamics and inequality of Italian male earnings: permanent changes or transitory fluctuations?," ISER Working Paper Series 2000-41, Institute for Social and Economic Research.
    10. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    11. Otto Kässi, 2014. "Earnings dynamics of men and women in Finland: permanent inequality versus earnings instability," Empirical Economics, Springer, vol. 46(2), pages 451-477, March.
    12. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.
    13. Paul Bingley & Lorenzo Cappellari & Niels Westergård‐Nielsen, 2013. "Unemployment Insurance, Wage Dynamics and Inequality Over the Life Cycle," Economic Journal, Royal Economic Society, vol. 0, pages 341-372, May.
    14. Stephen Jenkins & Peter Lambert, 2011. "Robert Moffitt and Peter Gottschalk’s 1995 paper ‘Trends in the covariance structure of earnings in the US: 1969–1987’," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 433-437, September.
    15. Gustafsson, Johan & Holmberg, Johan, 2019. "Earning dynamics in Sweden: The recent evolution of permanent inequality and earnings volatility," Umeå Economic Studies 963, Umeå University, Department of Economics.
    16. Taisuke Nakata & Christopher Tonetti, 2015. "Small Sample Properties of Bayesian Estimators of Labor Income Processes," Journal of Applied Economics, Taylor & Francis Journals, vol. 18(1), pages 121-148, May.
    17. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    18. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    19. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    20. Ivan Vidangos, 2009. "Household welfare, precautionary saving, and social insurance under multiple sources of risk," Finance and Economics Discussion Series 2009-14, Board of Governors of the Federal Reserve System (U.S.).

    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:ecoprv:ecop_0249-4744_2009_num_187_1_7873. 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/ecop .

    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.