ScholarGate
Assistent
Regression modelEconometrics / time series

Fourier AR-model

Fourier AR-modellen udvider den standard autoregressive specifikation ved at tilføje trigonometriske (sinus- og cosinus) led til den deterministiske komponent. Dette gør det muligt for modellen at indfange glidende, gradvise skift i gennemsnittet eller trenden af en tidsserie uden at kræve, at forskeren eksplicit lokaliserer eller tæller strukturelle brudpunkter.

Anvend med EconMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

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

Kilder

  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

Sådan citerer du denne side

ScholarGate. (2026, June 3). Fourier-Augmented Autoregressive Model. ScholarGate. https://scholargate.app/da/econometrics/fourier-ar-model

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
ScholarGateFourier AR Model (Fourier-Augmented Autoregressive Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/fourier-ar-model · Datasæt: https://doi.org/10.5281/zenodo.20539026