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Duration models and neural networks to analyse unemployment spells

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  • Michele Lalla
  • Tommaso Minerva

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  • Michele Lalla & Tommaso Minerva, 2001. "Duration models and neural networks to analyse unemployment spells," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 199-216.
    • Handle: RePEc:mtn:ancoec:2001:3:14
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    File URL: https://www.dss.uniroma1.it/RePec/mtn/articoli/2001-LIX-3_4-14.pdf
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    References listed on IDEAS

    as
    1. Michele Lalla & Francesco Pattarin, 2001. "Unemployment Duration: An Analysis of Incomplete, Completed, and Multiple Spells in Emilia-Romagna," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(2), pages 203-230, May.
    2. Torelli, Nicola & Trivellato, Ugo, 1993. "Modelling inaccuracies in job-search duration data," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 187-211, September.
    3. Heckman, James J, 1991. "Identifying the Hand of the Past: Distinguishing State Dependence from Heterogeneity," American Economic Review, American Economic Association, vol. 81(2), pages 75-79, May.
    4. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
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