Pregled bibliografske jedinice broj: 983398
Isolating Long Cycles in Unemployment Rates of Croatia Using Spectral Modelling
Isolating Long Cycles in Unemployment Rates of Croatia Using Spectral Modelling // Transformations in business & economics, 15 (2016), 3C; 520-543 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 983398 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Isolating Long Cycles in Unemployment Rates of Croatia Using Spectral Modelling
Autori
Škare, Marinko ; Sinković, Dean
Izvornik
Transformations in business & economics (1648-4460) 15
(2016), 3C;
520-543
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
unemployment, persistence, causality, Croatian disease, partial hysteresis, spectral methods
Sažetak
This paper is the first to explore unemploymentnature and determinants in Croatia in a comprehensive way (88 time series/ variables analysed) using nonlinear multivariate singular spectrum modelling. An important empirical finding of this study is the cyclical nature of unemployment. Unemployment in Croatia exhibits quite remarkably precise recurring business cycles of 5–6 years. This cyclical behaviour of unemployment is important both from theoretical and practical point of view. If empirical results of this paper are validated by other studies, a ‘partial hysteresis’ hypothesis should be recognised in terms of unemployment since both the hysteresis hypothesis and the natural rate of unemployment hypothesis hold in Croatia. Both hysteresis and natural rate of unemployment govern unemployment dynamicsin Croatia causing cyclical behaviour and the observed cycles of 5–6 years. Therefore, the empirical evidence of this study calls for researching the so-called ‘partial hysteresis’, with unemployment having not only some properties of random walk (non-stationarity) but also of stationary series (mean reversion). Spectral forecasting techniques show to be superior to other standard time series models
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-9481 - Modeliranje ekonomskog rasta - napredno sekvenciranje i algoritam predviđanja (MEGASFORA) (Škare, Marinko, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Sveučilište Jurja Dobrile u Puli
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- EconLit