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Strukturni prekid GLS×Panel Generalized Least Squares (Panel GLS)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1998 (structural break GLS formalization)1935 / developed for panels 1980s–1990s
TvoracBai & Perron (1998); GLS framework by Aitken (1936)Aitken (1935); extended to panel data by Baltagi and others
TipRegression estimatorGeneralized linear regression
Temeljni izvorBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Drugi naziviGLS with structural breaks, break-adjusted GLS, structural change GLS, regime-switching GLSPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panel
Srodne63
SažetakStructural Break GLS combines Generalized Least Squares estimation with explicit allowance for regime shifts in the data-generating process. The method estimates separate coefficient vectors for each segment defined by detected break dates while correcting for non-spherical errors — heteroscedasticity or autocorrelation — that frequently accompany structural change, yielding consistent and efficient estimates across all regimes.Panel GLS is a regression method for longitudinal data that explicitly models the non-spherical error structure — heteroscedasticity across units and serial correlation within units — to recover efficient coefficient estimates. Unlike OLS, it weights observations by the inverse of the error covariance matrix, yielding the Best Linear Unbiased Estimator when the error structure is correctly specified.
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ScholarGateUporedite metode: Structural Break GLS · Panel GLS. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare