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The purpose of this research work was to estimate hazard models alongside with estimating the influence of such parameters as age, gender, education level and nationality on individual unemployment period. The received results - both for the German citizens and the citizens of the Polish Mazowsze province - show that young age and high education level significantly increase hazard rate describing the probability of leaving the unemployment state. The hazard of finding a job by the unemployed woman is usually smaller than in case of a man. The achieved results confirm that hazard models can be a suitable tool for the analysis of unemployment period duration.(fragment of text)
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autor
- Warsaw University Life Sciences - SGGW
Bibliografia
- Blossfeld, H.-P., Hamerle, A., Mayer, K. (1986), Ereignisanalyse. Statistische Theorie und Anwendung in den Wirtschafts- und Sozialwissenschaften, Frankfurt/Main.
- Cox, D., Oakes, D. (1984), Analysis of Survival Data, London.
- Devine, T., Kiefer, N. (1991), Empirical Labor Economics, New York, Oxford.
- Green, W. (2000), Econometric Analysis, New York.
- Heckman, J., Singer, B. (1984), Econometric duration analysis, Journal of Econometrics, 24, 63-132.
- Kalbfleisch, J., Prentice, R. (1980), The Statistical Analysis of Failure Time Data, New York.
- Kiefer, N. (1988), Economic Duration Data and Hazard Functions, Journal of Economic Literature, 26, 646-679.
- Lancaster, T. (1979), Econometric Methods for the Duration of Unemployment, Econometrica, 47, 939-956.
- Lancaster, T. (1990), The Econometric Analysis of Transition Data, Cambridge, New York, Melbourne.
Typ dokumentu
Bibliografia
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bwmeta1.element.ekon-element-000171295047