Pregled bibliografske jedinice broj: 757500
Forecasting Unemployment Rate in Selected European Countries Using Smoothing Methods
Forecasting Unemployment Rate in Selected European Countries Using Smoothing Methods // International Journal of Social, Education, Economics and Management Engineering, 9 (2015), 4; 932-937 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 757500 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Forecasting Unemployment Rate in Selected European Countries Using Smoothing Methods
Autori
Dumičić, Ksenija ; Čeh Časni, Anita ; Žmuk, Berislav
Izvornik
International Journal of Social, Education, Economics and Management Engineering (1307-6892) 9
(2015), 4;
932-937
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
European Union countries; exponential smoothing methods; forecast accuracy unemployment rate
Sažetak
The aim of this paper is to select the most accurate forecasting method for predicting the future values of the unemployment rate in selected European countries. In order to do so, several forecasting techniques adequate for forecasting time series with trend component, were selected, namely: double exponential smoothing (also known as Holt`s method) and Holt-Winters` method which accounts for trend and seasonality. The results of the empirical analysis showed that the optimal model for forecasting unemployment rate in Greece was Holt-Winters` additive method. In the case of Spain, according to MAPE, the optimal model was double exponential smoothing model. Furthermore, for Croatia and Italy the best forecasting model for unemployment rate was Holt-Winters` multiplicative model, whereas in the case of Portugal the best model to forecast unemployment rate was Double exponential smoothing model. Our findings are in line with European Commission unemployment rate estimates.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Rad je objavljen u otvorenom pristupu: WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY : INTERNATIONAL SCIENCE INDEX: ONLINE SPECIAL JOURNAL ISSUES. Rad je prezentiran na WASET konferenciji ICBEMS 2015 u Lisabonu, Portugal, 16.-17.04.2015.
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb