Regression modelEconometrics / time series

Model korekcije greške vektora po Fourijevoj transformaciji (Fourier VECM)

Fourier VECM proširuje klasični model korekcije greške vektora trigonometrijskim članovima niske frekvencije — sinusnim i kosinusnim komponentama — kako bi se uhvatile glatke, postepene strukturne promene u kointegracionim odnosima bez prethodnog preciziranja broja ili vremena prekida. Koristi se za multivarijantne kointegrisane sisteme gde dugoročne ravnoteže mogu postepeno da se menjaju tokom vremena.

Primenite uz EconMindUskoroVideoUskoroDownload slides

Pročitajte celu metodu

Samo za članove

Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Enders, W., & Lee, J. (2012). A Unit Root Test Using a Fourier Series to Approximate Smooth Breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI: 10.1111/j.1468-0084.2011.00662.x
  2. Becker, R., Enders, W., & Lee, J. (2006). A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks. Journal of Time Series Analysis, 27(3), 381–409. DOI: 10.1111/j.1467-9892.2006.00478.x

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Fourier Vector Error Correction Model. ScholarGate. https://scholargate.app/sr/econometrics/fourier-vecm

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Citirana u

ScholarGateFourier VECM (Fourier Vector Error Correction Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/fourier-vecm · Skup podataka: https://doi.org/10.5281/zenodo.20539026