Pregled bibliografske jedinice broj: 922760
Spectral analysis of macroeconomic series for Croatia
Spectral analysis of macroeconomic series for Croatia // ‘Future World by 2050’ / Križman Pavlović, Danijela ; Paulišić, Morena ; Kostelić, Katarina (ur.).
Pula: Fakultet ekonomije i turizma Dr. Mijo Mirković Sveučilišta Jurja Dobrile u Puli, 2017. str. 127-143 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 922760 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spectral analysis of macroeconomic series for Croatia
Autori
Tomić, Daniel ; Stjepanović, Saša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
‘Future World by 2050’
/ Križman Pavlović, Danijela ; Paulišić, Morena ; Kostelić, Katarina - Pula : Fakultet ekonomije i turizma Dr. Mijo Mirković Sveučilišta Jurja Dobrile u Puli, 2017, 127-143
ISBN
978-953-7320-68-3
Skup
8th International Scientific Conference
Mjesto i datum
Pula, Hrvatska, 01.06.2017. - 03.06.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
advanced time series analysis, spectral analysis, cycles, Croatia
Sažetak
Macroeconomic data/indicators are the basis for any serious assessment of the economic situation in a country. After gaining independence, Croatia developed in a highly open economy that liberalized fast, thus becoming a small-open-import dependent and indebted country with strong trade imbalances. In addition, large seasonal influences and numerous external and internal shocks, led to a problem of data consistency and reliability. Nowadays we find many advanced tools for data analysis, and one of them is the spectral analysis. The goal of the spectral analysis is to create a decomposition of the original series to the large number of small independent components such as slow fluctuating trend, oscillator components, and structural noise. The advantage of spectral analysis is that it allows the identification and characterization of the dominant trends and cycles as well as seasonal and oscillatory components. In this paper, we will use spectral analysis to study the most important macroeconomic variables for Croatia. Hence, the main objective of this paper is to use elements of spectral analysis to get more accurate and reliable macroeconomic series that could be useful in evaluation and/or forecasting of future economic developments.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Sveučilište Jurja Dobrile u Puli