IDEAS home Printed from https://ideas.repec.org/p/nse/doctra/m2015-02.html
   My bibliography  Save this paper

Les méthodes de pseudo-panel

Author

Listed:
  • M. GUILLERM

    (Insee)

Abstract

Pseudo-panel methods are an alternative to the use of panel data when only repeated cross- sections are available. They are commonly used for life-cycle models, price elasticies or wage elasticities estimations. Pseudo-panel methods follow cohorts, meaning groups of individuals that are stable over time, rather than individuals. Under appropriate conditions in constructing these cohorts, classic panel data models can be used. This document explains in details pseudo- panel estimation : from the composition of the cohorts to the estimation. Examples of SAS, R and STATA programs are presented, and finally an application on successive waves of the Household Wealth Surveys.

Suggested Citation

  • M. Guillerm, 2015. "Les méthodes de pseudo-panel," Documents de Travail de l'Insee - INSEE Working Papers m2015-02, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:m2015-02
    as

    Download full text from publisher

    File URL: https://www.insee.fr/fr/statistiques/fichier/1381173/Lesmethodesspeudo-panel-CB.pdf
    File Function: Document de travail "Méthodologie Statistique" de la DMCSI numéro M2015/02
    Download Restriction: no
    ---><---

    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:nse:doctra:m2015-02. 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: INSEE (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.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.