IDEAS home Printed from https://ideas.repec.org/p/spo/wpmain/infohdl2441-2497.html
   My bibliography  Save this paper

Nairu en zone heureuse

Author

Listed:
  • Frédéric Reynés

    (Observatoire français des conjonctures économiques)

  • Matthieu Lemoine

    (Observatoire français des conjonctures économiques)

  • Paola Veroni

    (Observatoire français des conjonctures économiques)

Abstract

Cette étude spéciale propose des estimations du niveau non inflationniste du taux de chômage (Nairu) pour la zone euro agrégée, pour la France, l’Italie et l’Allemagne. Une équation d’inflation, qui dépend de l’écart du taux de chômage au Nairu, est estimée par le filtre de Kalman. Le modèle le plus simple, qui considère le Nairu comme une marche aléatoire, a des capacités prédictives limitées. Il diagnostique un taux de chômage inférieur au Nairu à l’horizon de notre prévision. Il est confronté à une deuxième version qui fait dépendre l’évolution du Nairu de celle du taux de chômage lui-même. Ce lien, vérifié empiriquement pour tous les pays, est parfois interprété comme un phénomène d’hystérèse. En identifiant un des déterminants du Nairu, ce modèle est mieux adapté en projection. De plus, cette spécification amène à des prévisions sensiblement plus basses du Nairu de long terme, écartant à moyen terme le risque inflationniste.

Suggested Citation

  • Frédéric Reynés & Matthieu Lemoine & Paola Veroni, 2007. "Nairu en zone heureuse," Sciences Po publications info:hdl:2441/2497, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/2497
    as

    Download full text from publisher

    File URL: https://spire.sciencespo.fr/hdl:/2441/2497/resources/2007-04-reynes-nairu-en-zone-heureuse.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Taux de chômage; Nairu; Zone euro; Inflation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:spo:wpmain:info:hdl:2441/2497. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Spire @ Sciences Po Library (email available below). General contact details of provider: https://edirc.repec.org/data/ecspofr.html .

    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.