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Desemprego: evidências da duração no Brasil metropolitano


Author Info

  • Mariângela Penido


  • Ana Flávia Machado



This work has as its objective to estimate the expected unemployment duration and to verify the reason for which the individual has difficulty of finding a new job in metropolitan Brazil in the year of 1999. For this purpose, we use the micro data’s of the Monthly Employment Survey (PME). The results obtained through the estimador of Kaplan-Meier show that the probability of the unemployed individuals stay in the unemployment state for at least 6 months is 48.83% and 25.10% for at least 1 year. On average unemployment duration is, approximately, 10 months. The parametric and extended parametric duration models allow to conclude that the individuals with grade levels of elementary and junior high school, with larger time of not- work, in son's condition and those resident in the metropolitan area of Rio de Janeiro have smaller probability of finding a new job, while those that never worked with remuneration, those that receive FGTS in the last job, residents in the metropolitan areas of Recife, Salvador and Belo Horizonte have larger probability of leaving the state unemployment.

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Bibliographic Info

Paper provided by Cedeplar, Universidade Federal de Minas Gerais in its series Textos para Discussão Cedeplar-UFMG with number td176.

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Length: 25 pages
Date of creation: Aug 2002
Date of revision:
Handle: RePEc:cdp:texdis:td176

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Related research

Keywords: unemployment duration; labor market;

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Cited by:
  1. Ana Luísa Abras & Fabiana de Felício, 2005. "Duração E Taxa De Saída Do Desemprego: Evidências De Ausência De Dependência Na Duração Para As Regiões Metropolitanas Do Brasil (1984-2000)," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting], ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of 169, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].


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