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Pregled bibliografske jedinice broj: 922760

Spectral analysis of macroeconomic series for Croatia


Tomić, Daniel; Stjepanović, Saša
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

Profili:

Avatar Url Daniel Tomić (autor)

Avatar Url Saša Stjepanović (autor)


Citiraj ovu publikaciju:

Tomić, Daniel; Stjepanović, Saša
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)
Tomić, D. & Stjepanović, S. (2017) Spectral analysis of macroeconomic series for Croatia. U: Križman Pavlović, D., Paulišić, M. & Kostelić, K. (ur.)‘Future World by 2050’.
@article{article, author = {Tomi\'{c}, Daniel and Stjepanovi\'{c}, Sa\v{s}a}, year = {2017}, pages = {127-143}, keywords = {advanced time series analysis, spectral analysis, cycles, Croatia}, isbn = {978-953-7320-68-3}, title = {Spectral analysis of macroeconomic series for Croatia}, keyword = {advanced time series analysis, spectral analysis, cycles, Croatia}, publisher = {Fakultet ekonomije i turizma Dr. Mijo Mirkovi\'{c} Sveu\v{c}ili\v{s}ta Jurja Dobrile u Puli}, publisherplace = {Pula, Hrvatska} }
@article{article, author = {Tomi\'{c}, Daniel and Stjepanovi\'{c}, Sa\v{s}a}, year = {2017}, pages = {127-143}, keywords = {advanced time series analysis, spectral analysis, cycles, Croatia}, isbn = {978-953-7320-68-3}, title = {Spectral analysis of macroeconomic series for Croatia}, keyword = {advanced time series analysis, spectral analysis, cycles, Croatia}, publisher = {Fakultet ekonomije i turizma Dr. Mijo Mirkovi\'{c} Sveu\v{c}ili\v{s}ta Jurja Dobrile u Puli}, publisherplace = {Pula, Hrvatska} }




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