Pregled bibliografske jedinice broj: 952323
Review on doctoral dissertation
Review on doctoral dissertation // Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 36 (2018), 1; 375-378 doi:.org/10.18045/zbefri.2018.1.375 (recenziran, prikaz, ostalo)
CROSBI ID: 952323 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Review on doctoral dissertation
Autori
Pečarić, Mario
Izvornik
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu (1331-8004) 36
(2018), 1;
375-378
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prikaz, ostalo
Ključne riječi
Tea Poklepović, Neural Network Structure Identification in Measurement of Expected Inflation
Sažetak
The main issue of the dissertation is of a methodological character, referring to different approaches and econometric models in the analysis of time series that have so far been most frequently used in the measurement and forecasting of the expected inflation. In this dissertation, by systematizing the advantages and disadvantages of traditional econometric models, including different parametric and nonparametric models, and linear and nonlinear models, the author comes to the conclusion of the necessity of application of a semi-parametric approach for measurement and forecasting of the expected inflation, i.e. neural networks.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
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
Uključenost u ostale bibliografske baze podataka::
- ERIH PLUS
- EBSCO, DOAJ, JCR