A residual-based test for autocorrelation in quantile regression models
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Publication:5106855
DOI10.1080/00949655.2016.1262371OpenAlexW2560850492MaRDI QIDQ5106855
Yunmi Kim, Dongjin Lee, Tae-Hwan Kim, Lijuan Huo
Publication date: 22 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2016.1262371
Cites Work
- Unnamed Item
- Quantile cointegration in the autoregressive distributed-lag modeling framework
- Quasi-maximum likelihood estimation for conditional quantiles
- Quantile cointegrating regression
- VAR for VaR: measuring tail dependence using multivariate regression quantiles
- Efficient estimation in dynamic conditional quantile models
- Robust penalized quantile regression estimation for panel data
- Quantile regression for dynamic panel data with fixed effects
- Least absolute error estimation in the presence of serial correlation
- Regression quantiles and related processes under long range dependent errors
- Least absolute deviation estimation for regression with ARMA errors
- The moving blocks bootstrap and robust inference for linear least squares and quantile regressions
- Quantile regression for longitudinal data
- Autoregression quantiles and related rank-scores processes
- Unit root quantile autoregression testing using covariates
- Quantile regression for longitudinal data using the asymmetric Laplace distribution
- Regression Quantiles
- LM TESTS IN THE PRESENCE OF NON-NORMAL ERROR DISTRIBUTIONS
- Threshold quantile autoregressive models
- Quantile Correlations and Quantile Autoregressive Modeling
- Unit Root Quantile Autoregression Inference