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Niet-lineair ARDL (NARDL) Model×Kwantielregressie×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan20141978
GrondleggerShin, Yu & Greenwood-NimmoKoenker & Bassett
TypeNonlinear cointegration modelConditional quantile regression
Oorspronkelijke bronShin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
AliassenNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration modelconditional quantile regression, regression quantiles, Kantil Regresyon
Verwant55
SamenvattingThe Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.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.
ScholarGateGegevensset
  1. v1
  2. 2 Bronnen
  3. PUBLISHED
  1. v1
  2. 2 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: Nonlinear ARDL · Quantile Regression. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare