ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Analiza panel podataka sa strukturnim lomovima×Regresija sa pragom×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1998-20102000
TvoracBai & Perron (1998); extended to panels by Bai (2010) and Joseph et al.Bruce E. Hansen
TipPanel time-series model with regime shiftsNonlinear regime-switching regression
Temeljni izvorBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗
Drugi nazivipanel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysisthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Srodne45
SažetakStructural 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.Threshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 1 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Structural Break Panel Data Analysis · Threshold Regression. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare