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Model dinamičkih panel podataka sa strukturnim promjenama×Analiza strukturnih promjena u panel podacima×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1991–19981998-2010
TvoracBai & Perron (break detection); Arellano & Bond (dynamic panel GMM)Bai & Perron (1998); extended to panels by Bai (2010) and Joseph et al.
VrstaDynamic panel model with regime changePanel time-series model with regime shifts
Temeljni izvorBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗
Drugi nazividynamic panel with breaks, panel dynamic model structural change, DPDSB, panel dynamic structural break estimatorpanel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysis
Srodne64
SažetakThe structural break dynamic panel data model extends the standard dynamic panel framework by allowing regression coefficients or the autoregressive parameter to shift at one or more unknown break dates. It combines GMM-based dynamic panel estimation with formal structural change tests, enabling researchers to study how economic relationships evolve across distinct regimes while controlling for unobserved individual heterogeneity and endogeneity of the lagged dependent variable.Structural break panel data analysis detects and estimates points in time — break dates — where the underlying regression coefficients shift permanently across a panel of cross-sectional units observed over multiple periods. By jointly exploiting cross-sectional and time-series variation, it offers sharper identification of regime shifts than single-series break tests, and it delivers separate coefficient estimates for each regime before and after each break.
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  1. v1
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  3. PUBLISHED

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ScholarGateUsporedite metode: Structural Break Dynamic Panel Data Model · Structural Break Panel Data Analysis. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare