Comparar métodos

	Análisis de Datos de Panel con Transformada de Fourier	Modelo de efectos fijos en panel
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	2006 (Fourier framework); panel extensions 2010s	1978
Autor original	Becker, Enders, and Lee (Fourier unit root framework); extended to panel data by subsequent applied econometricians	Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
Tipo	Panel regression with Fourier terms	Panel regression estimator
Fuente seminal	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.	Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Alias	Fourier panel regression, smooth structural break panel model, trigonometric panel data model, Fourier-flexible panel estimator	within estimator, FE model, within-group estimator, LSDV model
Relacionados	6	5
Resumen	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.	The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.