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NARDL Transversal×Projeções Locais×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20142005
Autor originalYongcheol Shin and colleaguesOscar Jorda
TipoAsymmetric panel modelMulti-horizon regression
Fonte seminalShin, 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 ↗Jorda, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182. DOI ↗
Outros nomesNARDL panelLP-IR, Multi-horizon regression
Relacionados33
ResumoCS-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.Local Projections (LP) is a semi-parametric method for estimating impulse responses directly via multi-horizon regressions, bypassing VAR-model specification. Introduced by Jorda (2005), it projects outcomes h periods ahead onto current shocks and lags, producing impulse-response functions without assuming a particular lag structure or VAR order. This flexibility has made it the dominant approach in applied macroeconomics for measuring policy effects and shock transmission.
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ScholarGateComparar métodos: CS-NARDL · Local Projections. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare