Comparar métodos

	ARDL no lineal de Fourier (NARDL de Fourier)	Modelo ARDL no lineal (NARDL)
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	2014–2020s	2014
Autor original	Extension of Shin, Yu & Greenwood-Nimmo (2014) NARDL, incorporating Fourier terms from Becker, Enders & Lee (2006)	Shin, Yu & Greenwood-Nimmo
Tipo	Nonlinear cointegrating model with smooth break approximation	Nonlinear cointegration model
Fuente seminal	Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer.	Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer.
Alias	Fourier NARDL, Fourier nonlinear ARDL, F-NARDL, Fourier asymmetric ARDL	NARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Relacionados	6	5
Resumen	Fourier NARDL extends the Nonlinear ARDL (NARDL) bounds-testing framework by adding Fourier trigonometric terms to the error-correction equation, allowing the model to capture smooth, gradual structural breaks in the long-run relationship without requiring the researcher to know or specify the break date in advance.	The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.