IDEAS home Printed from https://ideas.repec.org/p/xrs/sfbmaa/99-03.html
   My bibliography  Save this paper

Strukturelle ökonometrische Verfahren zur Analyse von Renteneintrittsentscheidungen

Author

Listed:
  • Winter, Joachim

    () (Mannheim Research Institute for the Economics of Aging (MEA))

Abstract

Die umlagefinanzierte deutsche Rentenversicherung steht am Ausgang des 20. Jahrhunderts vor großen Problemen, die im wesentlichen aus der fortschreitenden Alterung der Bevölkerung resultieren: Immer weniger Erwerbstätige müssen immer mehr Rentner finanzieren. Eine fundierte Abschätzung der Auswirkungen verschiedener Reformvorschläge erfordert ein genaues Verständnis der Anreizwirkungen, die von den institutionellen Gegebenheiten eines Rentensystems auf die individuellen Renteneintrittsentscheidungen ausgehen. In diesem Beitrag stelle ich eine Reihe von ökonometrischen Verfahren vor, die zur Untersuchung von Renteneintrittsentscheidungen angewendet werden können. Der Schwerpunkt liegt auf der ¹ aus methodischen Gründen zu bevorzugenden ¹ strukturellen Schätzung von intertemporalen Optimierungsmodellen.

Suggested Citation

  • Winter, Joachim, 1999. "Strukturelle ökonometrische Verfahren zur Analyse von Renteneintrittsentscheidungen," Sonderforschungsbereich 504 Publications 99-03, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  • Handle: RePEc:xrs:sfbmaa:99-03
    Note: Financial Support from Deutsche Forschungsgemeinschaft, SFB 504 at the University of Mannheim, is gratefully acknowledged.
    as

    Download full text from publisher

    File URL: http://www.sfb504.uni-mannheim.de/publications/dp99-03.pdf
    Download Restriction: no

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arnds, Pascal & Bonin, Holger, 2002. "Frühverrentung in Deutschland: Ökonomische Anreize und institutionelle Strukturen," IZA Discussion Papers 666, Institute for the Study of Labor (IZA).

    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:xrs:sfbmaa:99-03. 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: (Carsten Schmidt). General contact details of provider: http://edirc.repec.org/data/sfmande.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.

    We have no 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.

    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.