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Analyse cliométrique des cycles de croissance de l’éducation en France (1815-2003) : Vers un modèle à seuil autorégressif

Author

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  • Jean-Pascal Guironnet

Abstract

L'objectif de cet article est d'étudier l'évolution, sur longue période, des effectifs scolarisés français. Au cours des XIX[e] et XXe siècles, le développement du système éducatif s'est effectué non pas linéairement mais de manière convulsive. Partant de là, nous choisissons une formalisation économétrique en seuil afin d'identifier les ruptures de grandes ampleurs dans la composante cyclique de la série des effectifs scolarisés. Notre approche cliométrique met ainsi en évidence trois « cycles de croissance » de l'Éducation nationale et apporte une nouvelle interprétation économique de deux siècles d'histoire de la scolarisation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Pascal Guironnet, 2005. "Analyse cliométrique des cycles de croissance de l’éducation en France (1815-2003) : Vers un modèle à seuil autorégressif," Working Papers 05-05, LAMETA, Universtiy of Montpellier, revised Jan 2005.
  • Handle: RePEc:lam:wpaper:05-05
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    File URL: http://www.lameta.univ-montp1.fr/Documents/DR2005-05.pdf
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    References listed on IDEAS

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    1. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    2. Danthine, Jean-Pierre & Girardin, Michel, 1989. "Business cycles in Switzerland : A comparative study," European Economic Review, Elsevier, vol. 33(1), pages 31-50, January.
    3. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    4. Gamel, C., 1998. "Le diplome, un "signal" en voie de depreciation? Le modele de SPENCE reexamine," G.R.E.Q.A.M. 98c07, Universite Aix-Marseille III.
    5. Mélika Ben Salem & Corinne Perraudin, 2001. "Tests de linéarité, spécification et estimation de modèles à seuil : une analyse comparée des méthodes de Tsay et de Hansen," Economie & Prévision, La Documentation Française, vol. 148(2), pages 157-176.
    6. Brockwell, P. J. & Hyndman, R. J., 1992. "On continuous-time threshold autoregression," International Journal of Forecasting, Elsevier, vol. 8(2), pages 157-173, October.
    7. repec:bla:jecsur:v:13:y:1999:i:5:p:505-28 is not listed on IDEAS
    8. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    9. Gérard Forgeot & Jérôme Gautié, 1997. "Insertion professionnelle des jeunes et processus de déclassement," Économie et Statistique, Programme National Persée, vol. 304(1), pages 53-74.
    10. Arrow, Kenneth J., 1973. "Higher education as a filter," Journal of Public Economics, Elsevier, vol. 2(3), pages 193-216, July.
    11. Simon Potter, 1999. "Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    12. George Kapetanios, 2001. "Model Selection in Threshold Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(6), pages 733-754, November.
    13. Louis Chauvel, 1998. "La seconde explosion scolaire : diffusion des diplômes, structure sociale et valeur des titres," Revue de l'OFCE, Programme National Persée, vol. 66(1), pages 5-36.
    14. George Kapetanios, 2003. "Threshold models for trended time series," Empirical Economics, Springer, vol. 28(4), pages 687-707, November.
    15. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I2 - Health, Education, and Welfare - - Education

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