xtcspqardl
1.0.2Cross-Sectionally Augmented Panel Quantile ARDL
Overview
Implements the Cross-Sectionally Augmented Panel Quantile Autoregressive Distributed Lag (CS-PQARDL) model and the Quantile Common Correlated Effects Mean Group (QCCEMG) estimator for panel data with cross-sectional dependence. The package handles unobserved common factors through cross-sectional averages following Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>. Quantile regression for dynamic panels follows Harding, Lamarche, and Pesaran (2018) <doi:10.1016/j.jeconom.2018.07.010>. The ARDL approach to cointegration testing is based on Pesaran, Shin, and Smith (2001) <doi:10.1002/jae.616>.
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- OK2026-03-147 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
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Functions
15 2 exported
Complexity
7.6 avg / 32 max
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15 nodes / 8 edges
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People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest2026-03-13 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-13
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
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