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Duration data models, unemployment benefits and bias

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  • Jose Arranz
  • Juan Muro

Abstract

Traditional approaches to measurement conditional probabilities of leaving welfare do not deal with unemployment benefits data in a proper way leading thus to biased estimates of unemployment-employment transition probabilities. In fact, these approaches overestimate hazard rates and hence underestimate the expected welfare duration.

Suggested Citation

  • Jose Arranz & Juan Muro, 2007. "Duration data models, unemployment benefits and bias," Applied Economics Letters, Taylor & Francis Journals, vol. 14(15), pages 1119-1122.
    • Handle: RePEc:taf:apeclt:v:14:y:2007:i:15:p:1119-1122
    DOI: 10.1080/13504850600606000
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    Cited by:

    1. Alba, Alfonso & Arranz, José M. & Muñoz-Bullón, Fernando, 2006. "Unemployment duration, unemployment benefits and recalls," DEE - Working Papers. Business Economics. WB wb066218, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Alfonso Alba & Jose Maria Arranz & Fernando Muñoz-Bullón, 2012. "Re-employment probabilities of unemployment benefit recipients," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3645-3664, October.

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