Comparar métodos

	Modelo de datos de panel dinámico de Fourier	Análisis de Datos de Panel con Transformada de Fourier
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	2004-2012	2006 (Fourier framework); panel extensions 2010s
Autor original	Enders & Lee (2012); Becker, Enders & Hurn (2004)	Becker, Enders, and Lee (Fourier unit root framework); extended to panel data by subsequent applied econometricians
Tipo	Dynamic panel model with Fourier approximation	Panel regression with Fourier terms
Fuente seminal	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.	Becker, R., Enders, W., & Lee, J. (2006). A stationary test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409.
Alias	Fourier dynamic panel, Fourier DPDM, smooth break dynamic panel, trigonometric dynamic panel	Fourier panel regression, smooth structural break panel model, trigonometric panel data model, Fourier-flexible panel estimator
Relacionados	6	6
Resumen	The Fourier dynamic panel data model extends standard dynamic panel specifications by incorporating low-frequency trigonometric (Fourier) terms to flexibly capture smooth, gradual structural breaks or time-varying patterns in the data, without requiring knowledge of the exact number or timing of breaks.	Fourier panel data analysis embeds trigonometric sine and cosine terms into a standard panel regression to approximate smooth, gradual structural shifts in the data-generating process. Rather than assuming a sharp break at a known date, the Fourier approach lets the data reveal the timing and shape of any structural change through a flexible trigonometric approximation, while retaining the cross-sectional and time-series structure of panel data.