Regression modelEconometrics / time series
Fourier ARDL Bounds Test
The Fourier ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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Sources
- Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. DOI: 10.1016/j.eneco.2021.105119 ↗
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. DOI: 10.1002/jae.616 ↗
Related methods
Referenced by
Fourier ADF unit root testFourier AR ModelFourier ARMA modelFourier Dynamic Panel Data ModelFourier Engle-Granger cointegrationFourier Fixed Effects ModelFourier GARCH ModelFourier Granger CausalityFourier NARDLFourier OLSFourier Panel Data AnalysisFourier Quantile-on-Quantile RegressionFourier SARIMA modelFourier system GMMFourier VAR modelFourier VECMStructural Break ARDL Bounds Test