Regression modelEconometrics / time series

Fourier Vector Error Correction Model (Fourier VECM)

The Fourier VECM augments the classical vector error correction model with low-frequency trigonometric terms — sine and cosine components — to capture smooth, gradual structural change in cointegrating relationships without specifying the number or timing of breaks in advance. It is used for multivariate cointegrated systems where long-run equilibria may shift gradually over time.

Apply with EconMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  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

Related methods

Referenced by

ScholarGateFourier VECM (Fourier Vector Error Correction Model). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/fourier-vecm