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Dynamique des salaires dans une cohorte

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  • 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.

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  • 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
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    1. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    2. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    3. 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.
    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. 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.
    6. Alain Bayet, 1996. "Carrières continues, carrières incomplètes et salaires," Économie et Statistique, Programme National Persée, vol. 299(1), pages 21-36.
    7. 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.
    8. Keisuke Hirano, 2002. "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Joel L. Horowitz, 1998. "Bootstrap Methods for Covariance Structures," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 39-61.
    14. 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.
    15. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    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. Dominique Goux & Éric Maurin, 1994. "Éducation, expérience et salaire," Économie et Prévision, Programme National Persée, vol. 116(5), pages 155-178.
    19. 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.
    20. Kezdi, Gabor & Hahn, Jinyong & Solon, Gary, 2002. "Jackknife minimum distance estimation," Economics Letters, Elsevier, vol. 76(1), pages 35-45, June.
    21. 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.
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    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. 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.
    3. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9jipk5i5h7 is not listed on IDEAS
    4. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, Institute of Labor Economics (IZA).
    5. Fabienne Berton & Jean-Pierre HUIBAN & Frédérique Nortier, 2011. "Les carrières salariales des hommes et des femmes : quelle convergence sur longue période ?," Travail et Emploi, La DARES, vol. 0(1), pages 9-25.
    6. Pora, Pierre & Wilner, Lionel, 2020. "A decomposition of labor earnings growth: Recovering Gaussianity?," Labour Economics, Elsevier, vol. 63(C).
    7. 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.
    8. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9jipk5i5h7 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.

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