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Rumslig regression (rumslig lag- och rumslig felmodell)×Tröskelregression×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19882000
UpphovspersonLuc AnselinBruce E. Hansen
TypSpatial regression (cross-sectional)Nonlinear regime-switching regression
UrsprungskällaAnselin, 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 ↗
Aliasspatial econometrics, spatial lag model, spatial error model, SAR / SEMthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Närliggande55
SammanfattningSpatial 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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ScholarGateJämför metoder: Spatial Regression · Threshold Regression. Hämtad 2026-06-15 från https://scholargate.app/sv/compare