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Prognosis Of Monthly Unemployment Rate In The European Union Through Methods Based On Econometric Models

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Author Info
Gagea Mariana, () (Alexandru Ioan Cuza University of Iasi, Faculty of Economics and Business Administration)
Balan Christiana Brigitte () (Alexandru Ioan Cuza University of Iasi, Faculty of Economics and Business Administration)
Abstract

In this paper we propose the prognosis of the unemployment rate in the European Union through the Box-Jenkins method and the TRAMO/SEATS method as well as the detection of the method which proves to provide the best results. The monthly unemployment rate in the European Union is affected by seasonal variations of deterministic and stochastic nature. The prognosis through the Box-Jenkins nature supposes the separate consideration of seasonal variations, according to their specific nature. The stochastic seasonal variations are modelled and prognosticated simultaneously with the other components of the time series, based on the generating stochastic process. The prognosis of the monthly unemployment rate in the European Union through the TRAMO/SEATS methods is done by aggregating the individual prognoses of the components of the time series, obtained according to the stochastic processes models that generate them.

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Publisher Info
Article provided by University of Oradea, Faculty of Economics in its journal The Journal of the Faculty of Economics - Economic.

Volume (Year): 2 (2008)
Issue (Month): 1 (May)
Pages: 848-853
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Handle: RePEc:ora:journl:v:2:y:2008:i:1:p:848-853

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Related research
Keywords: seasonal variations; stochastic process; moving average; prognosis; performance indicators of the prognosis;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General

Statistics
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