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Modelling the incidence of unemployment: the case of Greece

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  • Ilias Livanos

Abstract

In this article, micro-data from the 2004 Labour Force Survey are used to model the incidence of unemployment in Greece and assess whether personal attributes of the individual, such as educational level, affect the probability of being unemployed. For that purpose, a logit regression model was constructed. It is found that the type of qualification (PhD, Masters, University degree, etc.) that an individual holds does not affect the probability of being unemployed. However, the incidence of unemployment is found to be affected by the subject studied. Other attributes of the individuals that were found to affect the probability of unemployment are: gender, marital status and region of residence.

Suggested Citation

  • Ilias Livanos, 2009. "Modelling the incidence of unemployment: the case of Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 16(16), pages 1607-1611.
  • Handle: RePEc:taf:apeclt:v:16:y:2009:i:16:p:1607-1611
    DOI: 10.1080/13504850701578959
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    References listed on IDEAS

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    1. Margarita Katsimi, 2000. "Stochastic shifts in the natural rate of unemployment: evidence from Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 7(4), pages 239-242.
    2. Ilias Livanos, 2007. "The incidence of long-term unemployment: evidence from Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 405-408.
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    Cited by:

    1. Stanka Zhekova & Dobrina Dimova, 2017. "The Relation between the Education of Economically Active Individuals in Republic of Bulgaria and Their Positions on the Labour Market under Conditions of Economic Instability," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 178-198.
    2. Ilias Livanos, 2010. "The Wage-Local Unemployment Relationship in a Highly Regulated Labour Market: Greece," Regional Studies, Taylor & Francis Journals, vol. 44(4), pages 389-400.

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