ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Regresi Kuasa Dua Terkecil Biasa (OLS)×VAR Ambang dan VAR Peralihan Licin (TVAR / STVAR)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal20191998
PengasasWooldridge (textbook treatment); classical least squaresTsay (multivariate threshold modelling)
JenisLinear regressionNonlinear multivariate time-series model
Sumber perintisWooldridge, 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 ↗
Aliasordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuTVAR, STVAR, regime-switching VAR, threshold VAR
Berkaitan55
RingkasanOrdinary 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.
ScholarGateSet data
  1. v1
  2. 1 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: OLS Regression · Threshold and Smooth-Transition VAR. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare