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Unemployment Insurance and Precautionary Savings : Transitional Dynamics vs. Steady State Equilibrium


  • JOSEPH Gilles and WEITZENBLUM Thomas


In this study, we ask whether the presence of precautionary savings substantially reduces the optimal replacement rate in an economy characterized by equilibrium unemployment and moral hazard. In line with previous studies, the optimality criterion based on comparisons of steady states leads to a low optimal ratio. Yet, this result ignores potential transitional costs due to the necessity for agents to increase their savings and reduce their consumption whenever the ratio is cut. We therefore build a dynamic model taking full account of the transition, and show that steady state optimality is not robust to transitional costs.

Suggested Citation

  • JOSEPH Gilles and WEITZENBLUM Thomas, 2001. "Unemployment Insurance and Precautionary Savings : Transitional Dynamics vs. Steady State Equilibrium," Computing in Economics and Finance 2001 96, Society for Computational Economics.
  • Handle: RePEc:sce:scecf1:96

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    References listed on IDEAS

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    Cited by:

    1. Rasmus Lentz, 2009. "Optimal Unemployment Insurance in an Estimated Job Search Model with Savings," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 37-57, January.
    2. Gilles Joseph & Thomas Weitzenblum, 2003. "Optimal Unemployment Insurance: Transitional Dynamics vs. Steady State," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 869-884, October.

    More about this item


    equilibrium unemployment; job search; moral hazard; precautionary savings; unemployment insurance;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis


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