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Forecasting Youth Unemployment Rate In The Post-Crisis Period

Author

Listed:
  • Dana BALAN
  • Corina MARINESCU

Abstract

In the present paper the authors intend to predict the level of youth unemployment in the post-crisis period, both for Romania and Poland. The chosen forecasting method is multiple linear regression with parameters estimated by the Least Squares Method. The application of this method was accomplished using Qm for Windows software. The results were interpreted both econometrically and economically. Among the chosen independent variables, the education level of young people and their health status have a positive influence on the unemployment rate, both for Romania and for Poland.This is undesirable, as while the number of young people with a higher level of education increases or their state of health improves, the unemployment rate also increases. The influence of the minimum wage on the unemployment rate is negative, so a rise in wages leads to a decrease in the unemployment rate.

Suggested Citation

  • Dana BALAN & Corina MARINESCU, 2017. "Forecasting Youth Unemployment Rate In The Post-Crisis Period," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(1), pages 325-335, November.
    • Handle: RePEc:rom:mancon:v:11:y:2017:i:1:p:325-335
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