Application of Hazard Models to Estimation of Unemployment Duration in Germany and Poland

• Autorzy: Joanna Landmesser
• Języki publikacji: EN

Abstrakty

EN

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)

Słowa kluczowe

EN

Hazard; Econometric models; Unemployment; Estimation; Unemployment duration

PL

Hazard; Modele ekonometryczne; Bezrobocie; Estymacja; Czas trwania bezrobocia

• Czasopismo: Dynamic Econometric Models
• Rocznik: 2006
• Tom: 7
• Strony: 161--168

Twórcy

autor

Joanna Landmesser

• 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.