2010 | 11 | 1 | 212-222
Article title

A dynamic approach to the study of unemployment duration

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In this research work we investigate which factors influence the probability of leaving the unemployment state among people registered in the District Labor Office in S lupsk. The multiepisode hazard models with time-varying variables are suitable tools for this analysis. We introduced the changing labor market structure into the risk model. The main results achieved show that the job finding process depends on the historical time of the entry into the unemployment state and the actual historical time. Also, the specific individual characteristics of people unemployed, such as gender, age, marital status, place of residence, education level, influence the probability of exiting the unemployment state. There is a greater tendency to leave the unemployment state when the person doesn’t receive the unemployment benefit. The participation in the vocational training doesn’t increase the transition rate into employment.
Physical description
  • Blossfeld H. P., Career opportunities in the Federal Republic of Germany: A dynamic approach to the study of life-course, cohort, and period effects, European Sociological Review 2 (1986), 208–225.
  • Blossfeld H. P., Golsch K., Rohwer G., Event History Analysis with Stata, Lawrence Erlbaum Associates, Inc., Mahwah, New Jersey, 2007.
  • Cameron A. C., Trivedi P.K., Microeconometrics: Methods and Applications, Cambridge University Press, New York, 2005.
  • Cox, D. R. Regression Models and Life Tables (with Discussion), Journal of the Royal Statistical Society, Series B 34 (1972).
  • Cox D. R., Oakes D., Analysis of Survival Data, Chapman and Hall, London, 1972.
  • Devine D., Kiefer N., Empirical Labor Economics, New York, Oxford, 1991.
  • Frątczak E., Jóźwiak J., Paszek B., Zastosowanie analizy historii zdarzeń w demografii, Szkoła Główna Handlowa, Warszawa, 1996.
  • Hosmer D., Lemeshow S., Applied Survival Analysis: Regression Modeling of Time to Event Data, John Wiley and Sons, New York, 1999.
  • Kaiser H. F., The application of electronic computers to factor analysis, Educational and Psychological Measurement 20 (1960), 141–151.
  • Kalbfleisch J., Prentice R., The Statistical Analysis of Failure Time Data, John Wiley and Sons, New York, 1980.
  • Kiefer N., Economic Duration Data and Hazard Functions, Journal of Economic Literature 26/2 (1988), 646–679
  • Lancaster T., Econometric Methods for the Duration of Unemployment, Econometrica 47/4 (1979), 939–956.
  • Malarska A., Diagnozowanie determinant´ow bezrobocia w Polsce nieklasycznymi metodami statystycznymi, Wydawnictwo Biblioteka, L´od´z, 2007.
  • Thurstone L. L., Multiple factor analysis, Psychological Review 38 (1931), 406–427.
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