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OLS-regressio (Ordinary Least Squares)×Kvanttiiliregressio×Sileän siirtymän autoregressiivinen (STAR) malli×
TieteenalaEkonometriaEkonometriaEkonometria
MenetelmäperheRegression modelRegression modelRegression model
Syntyvuosi201919781994
KehittäjäWooldridge (textbook treatment); classical least squaresKoenker & BassettTeräsvirta (1994); van Dijk, Teräsvirta & Franses (2002)
TyyppiLinear regressionConditional quantile regressionNonlinear time-series regime-switching model
AlkuperäislähdeWooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗Teräsvirta, T. (1994). Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89(425), 208–218. DOI ↗
Rinnakkaisnimetordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuconditional quantile regression, regression quantiles, Kantil Regresyonsmooth transition autoregressive model, LSTAR, ESTAR, logistic STAR
Liittyvät554
TiivistelmäOrdinary 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).Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.The Smooth Transition Autoregressive (STAR) model is a nonlinear time-series model, developed in Teräsvirta's 1994 framework, that lets the dynamics move smoothly rather than abruptly between two regimes. The logistic variant (LSTAR) captures asymmetric business cycles and the exponential variant (ESTAR) captures purchasing-power-parity deviations.
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ScholarGateVertaile menetelmiä: OLS Regression · Quantile Regression · STAR Model. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare