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انحدار المربعات الصغرى العادية (OLS)×Threshold and Smooth-Transition VAR×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة20191998
صاحب الطريقةWooldridge (textbook treatment); classical least squaresTsay (multivariate threshold modelling)
النوعLinear regressionNonlinear multivariate time-series model
المصدر التأسيسيWooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗
الأسماء البديلةordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuTVAR, STVAR, regime-switching VAR, threshold VAR
ذات صلة55
الملخصOrdinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).Threshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences.
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ScholarGateقارن الطرق: OLS Regression · Threshold and Smooth-Transition VAR. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare