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Prostorna regresija (modeli prostornog zaostatka i prostorne pogreške)×Regresija s pragom×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19882000
TvoracLuc AnselinBruce E. Hansen
VrstaSpatial regression (cross-sectional)Nonlinear regime-switching regression
Temeljni izvorAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. DOI ↗Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗
Drugi nazivispatial econometrics, spatial lag model, spatial error model, SAR / SEMthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Srodne55
SažetakSpatial regression is a family of regression models that build geographic neighbourhood relationships directly into the model, introduced by Luc Anselin in his 1988 treatment of spatial econometrics. It splits into a spatial lag model, where spatial dependence sits in the dependent variable, and a spatial error model, where the dependence sits in the error term.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.
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ScholarGateUsporedite metode: Spatial Regression · Threshold Regression. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare