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Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Gewone Kleinste Kwadraten (GKK) Regressie×Kwantielregressie×Smooth Transition Autoregressive (STAR) Model×
VakgebiedEconometrieEconometrieEconometrie
FamilieRegression modelRegression modelRegression model
Jaar van ontstaan201919781994
GrondleggerWooldridge (textbook treatment); classical least squaresKoenker & BassettTeräsvirta (1994); van Dijk, Teräsvirta & Franses (2002)
TypeLinear regressionConditional quantile regressionNonlinear time-series regime-switching model
Oorspronkelijke bronWooldridge, 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 ↗
Aliassenordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuconditional quantile regression, regression quantiles, Kantil Regresyonsmooth transition autoregressive model, LSTAR, ESTAR, logistic STAR
Verwant554
SamenvattingOrdinary 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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ScholarGateMethoden vergelijken: OLS Regression · Quantile Regression · STAR Model. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare