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Nelinearni model autororegresivnih distribuiranih odmakâ (NARDL)×Kvantilna regresija×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka20141978
TvoracShin, Yu & Greenwood-NimmoKoenker & Bassett
VrstaAsymmetric cointegration / error-correction modelConditional quantile regression
Temeljni izvorShin, Y., Yu, B. & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In: Sickles, R. & Horrace, W. (Eds.), Festschrift in Honor of Peter Schmidt. Springer. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Drugi nazivinonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)conditional quantile regression, regression quantiles, Kantil Regresyon
Srodne45
SažetakThe NARDL model, introduced by Shin, Yu and Greenwood-Nimmo in 2014, extends the ARDL framework to capture asymmetric long-run and short-run relationships, testing whether positive and negative changes in a regressor affect the dependent variable differently.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.
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ScholarGateUsporedite metode: NARDL Model · Quantile Regression. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare