IDEAS home Printed from https://ideas.repec.org/p/lam/wpaper/05-05.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.lameta.univ-montp1.fr/Documents/DR2005-05.pdf
    File Function: First version, 2005
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Danthine, Jean-Pierre & Girardin, Michel, 1989. "Business cycles in Switzerland : A comparative study," European Economic Review, Elsevier, vol. 33(1), pages 31-50, January.
    2. 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.
    3. Brockwell, P. J. & Hyndman, R. J., 1992. "On continuous-time threshold autoregression," International Journal of Forecasting, Elsevier, vol. 8(2), pages 157-173, October.
    4. 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.
    5. 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.
    6. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    7. Kapetanios, G., 1999. "Model Selection in Threshold Models," Cambridge Working Papers in Economics 9906, Faculty of Economics, University of Cambridge.
    8. George Kapetanios, 2003. "Threshold models for trended time series," Empirical Economics, Springer, vol. 28(4), pages 687-707, November.
    9. 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.
    10. Kapetanios, G., 1999. "Threshold Models for Trended Time Series," Cambridge Working Papers in Economics 9905, Faculty of Economics, University of Cambridge.
    11. 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.
    12. 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," Économie et Prévision, Programme National Persée, vol. 148(2), pages 157-176.
    13. Potter, Simon M, 1999. " Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    14. Arrow, Kenneth J., 1973. "Higher education as a filter," Journal of Public Economics, Elsevier, vol. 2(3), pages 193-216, July.
    Full references (including those not matched with items on IDEAS)

    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

    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:lam:wpaper:05-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Patricia Modat). General contact details of provider: http://edirc.repec.org/data/lamplfr.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.