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The Impact Of Previous Job Experience On Employment Odds In Szczecin

Author

Listed:
  • Beata Bieszk-Stolorz

    (University of Szczecin, Poland)

  • Iwona Markowicz

    (University of Szczecin, Poland)

Abstract

The aim of this article is to examine the impact of job experience on the odds. The studies which have been conducted by the authors so far focus on such determinants of finding a job by the unemployed as: gender, age and education. It has been confirmed that they are the features determining both the employment odds and the time devoted to seeking a job. The authors have presented a thesis that an unemployed person’s professional experience conditions affect the likelihood of their finding employment. Moreover, the odds are not the same in individual subgroups of a given community. The research tool used in the presented analysis is a model of logistic regression which, following the logit transformation, enables the researchers to determine the odds ratio. The odds ratio makes it possible to compare the employment odds of a person who declares previous employment experience with that of a person who has not been employed before. The authors examined the influence of previous job experience on employment odds in a given community as a whole and in individual subgroups divided by gender, age and education. Statistical data were obtained thanks to a long-term cooperation with the Poviat Labour Office in Szczecin. The analysed data covered 19 398 people who unregistered from the Poviat Labour Office in 2009.

Suggested Citation

  • Beata Bieszk-Stolorz & Iwona Markowicz, 2012. "The Impact Of Previous Job Experience On Employment Odds In Szczecin," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 7(4), pages 63-75, December.
    • Handle: RePEc:pes:ierequ:v:7:y:2012:i:4:p:63-75
    DOI: 10.12775/EQUIL.2012.027
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    More about this item

    Keywords

    unemployment; logistic regression; employment odds;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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