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On the Optimality of PAYG Pension Systems in an Endogenous Fertility Setting

Author

Listed:
  • G. ABIO

    (Universitat de Barcelona)

  • Géraldine MAHIEU

    (UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))

  • C. Patxot

    (Universitat de Barcelona)

Abstract

In order to help in designing an accurate pension reform, we determine the optimal resource allocation in an endogenous fertility model generating a demographic transition. Extending Samuelson’s (1975) work in such a setting, we analyze the problem of the interiority of the optimal solution and discuss the serendipity theorem. We then characterize the decentralization of the first best, showing that a pension policy linking pension benefits to the number of children constitutes an optimal social security program able to restore both the optimal capital stock and the optimal rate of pupulation growth as a unique instrument. We also show that neither a Beveridgean pension scheme nor a Bismarckian one can decentralize the first best.

Suggested Citation

  • G. ABIO & Géraldine MAHIEU & C. Patxot, 2002. "On the Optimality of PAYG Pension Systems in an Endogenous Fertility Setting," LIDAM Discussion Papers IRES 2002006, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  • Handle: RePEc:ctl:louvir:2002006
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    More about this item

    Keywords

    demographic transition; fertility; pensions; golden rule;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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