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푸리에 고정효과 모형×구조적 단절 고정효과 모형×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도2006–20121998 (Bai-Perron); FE estimator classical
창시자Enders & Lee (building on Becker, Enders & Lee framework)Bai & Perron (structural break testing); Mundlak / within-group estimator tradition
유형Panel regression with Fourier termsPanel regression with regime change
원전Enders, 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 ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗
별칭Fourier FE model, Fourier panel fixed effects, trigonometric fixed effects regression, smooth structural break fixed effectsFE model with structural breaks, break-adjusted fixed effects, panel fixed effects with regime shifts, structural change fixed effects estimator
관련66
요약The Fourier fixed effects model extends standard panel fixed effects regression by augmenting the specification with low-frequency Fourier (trigonometric) terms. These sine and cosine components approximate unknown, smooth structural shifts in the time trend without requiring the researcher to pre-specify break dates, combining within-unit identification with flexible trend modelling.The structural break fixed effects model extends the standard within-group (FE) panel estimator by allowing the slope coefficients to shift at one or more detected break dates. Each unit's unobserved time-invariant heterogeneity is still removed by demeaning, but separate coefficient regimes are estimated for each sub-period, capturing policy shifts, crises, or technological transitions that would otherwise bias a single-regime FE estimate.
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