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Momentmetods kvantilregression×Tvärsnitts-NARDL×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår20042014
UpphovspersonRoger Koenker and colleaguesYongcheol Shin and colleagues
TypDistribution regressionAsymmetric panel model
UrsprungskällaKoenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89. DOI ↗Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a system of nonlinear autoregressive distributed lag equations. Econometric Reviews, 33(1), 56-87. link ↗
AliasGMM quantile regressionNARDL panel
Närliggande33
SammanfattningMethod of Moments Quantile Regression combines moment-based estimation (GMM) with quantile regression to estimate distribution parameters while handling endogeneity, panel structure, and dynamic relationships. Introduced by Koenker (2004) and developed by Machado and Mata (2005), it enables distributional analysis (not just mean regression) in complex settings like dynamic panels and instrumental-variable contexts. This approach is powerful for understanding heterogeneity in treatment effects and policy impacts.CS-NARDL extends the nonlinear autoregressive distributed lag (NARDL) model to panel data, capturing asymmetric long-run and short-run relationships where positive and negative changes in explanatory variables have differential effects. Introduced by Shin et al. (2014) and adapted to panels, it allows studying how cross-sectional units respond differently to positive versus negative shocks while maintaining cointegrating relationships. This approach is essential for understanding economic asymmetries in commodity markets, monetary transmission, and labor markets.
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ScholarGateJämför metoder: Method of Moments Quantile Regression · CS-NARDL. Hämtad 2026-06-19 från https://scholargate.app/sv/compare