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Is the Discouraged Worker Effect Time-Varying?

Author

Listed:
  • Carlo Altavilla

    (CELPE University of Salerno, University of Naples Parthenope)

  • Antonio Garofalo

    (CELPE University of Salerno, University of Naples Parthenope)

  • Concetto Paolo Vinci

    (CELPE,University of Salerno)

Abstract

This study investigates the relationship between the female labour force participation and the female employment rate in Italy by adopting non-linear econometric modelling. In our specification we are unable to reject a nonlinear relationship. This implies that the discouraged worker effect is timevarying.

Suggested Citation

  • Carlo Altavilla & Antonio Garofalo & Concetto Paolo Vinci, 2005. "Is the Discouraged Worker Effect Time-Varying?," CELPE Discussion Papers 97, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
  • Handle: RePEc:sal:celpdp:97
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    Citations

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    Cited by:

    1. Emilio Congregado & Ewa Galecka-Burdziak & Antonio A. Golpe & Robert Pater, 2021. "Separating aggregate discouraged and added worker effects: the case of a former transition country," Oeconomia Copernicana, Institute of Economic Research, vol. 12(3), pages 729-760, September.
    2. Congregado, Emilio & Golpe, Antonio A. & van Stel, André, 2011. "Exploring the big jump in the Spanish unemployment rate: Evidence on an 'added-worker' effect," Economic Modelling, Elsevier, vol. 28(3), pages 1099-1105, May.
    3. Congregado, Emilio & Carmona, Monica & Golpe, Antonio A. & Van Stel, André, 2014. "Unemployment, Gender and Labor Force Participation in Spain: Future Trends in Labor Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 53-66, March.

    More about this item

    Keywords

    Discouraged Workers; Non-linearity;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • 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

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