Linear double autoregression
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Publication:1792485
DOI10.1016/j.jeconom.2018.05.006zbMath1452.62687OpenAlexW2884358540MaRDI QIDQ1792485
Yao Zheng, Guodong Li, Qian-Qian Zhu
Publication date: 12 October 2018
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2018.05.006
stationary solutionheavy tailgoodness-of-fit testconditional quantile estimationnonlinear time series model
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05)
Related Items (10)
Asymmetric linear double autoregression ⋮ Bayesian inference for a mixture double autoregressive model ⋮ Spatial-temporal Model with Heterogeneous Random Effects ⋮ QUANTILE DOUBLE AUTOREGRESSION ⋮ Rate-optimal robust estimation of high-dimensional vector autoregressive models ⋮ On an asymmetric functional-coefficient ARCH-M model ⋮ Maximum likelihood estimation for \(\alpha\)-stable double autoregressive models ⋮ On the three‐step non‐Gaussian quasi‐maximum likelihood estimation of heavy‐tailed double autoregressive models ⋮ Quantile Estimation of Regression Models with GARCH-X Errors ⋮ Strict stationarity testing and GLAD estimation of double autoregressive models
Uses Software
Cites Work
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- A note on L-estimates for linear models
- Global self-weighted and local quasi-maximum exponential likelihood estimators for ARMA-GARCH/IGARCH models
- Composite quantile regression and the oracle model selection theory
- M-estimation for autoregression with infinite variance
- Strict stationarity of generalized autoregressive processes
- Subadditive ergodic theory
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- On convergence of LAD estimates in autoregression with infinite variance
- AVERAGING OF AN INCREASING NUMBER OF MOMENT CONDITION ESTIMATORS
- EFFICIENT REGRESSIONS VIA OPTIMALLY COMBINING QUANTILE INFORMATION
- Conditional Quantile Estimation for Generalized Autoregressive Conditional Heteroscedasticity Models
- Non-linear time series and Markov chains
- Asymptotic inference for a nonstationary double AR(1) model
- Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity
- RANDOM COEFFICIENT AUTOREGRESSIVE PROCESSES:A MARKOV CHAIN ANALYSIS OF STATIONARITY AND FINITENESS OF MOMENTS
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Regression Quantiles
- Least absolute deviation estimates in autoregression with infinite variance
- Asymptotic Statistics
- Goodness of Fit and Related Inference Processes for Quantile Regression
- Estimation and Testing Stationarity for Double-Autoregressive Models
- Weighted composite quantile regression estimation of DTARCH models
- Self-Weighted Least Absolute Deviation Estimation for Infinite Variance Autoregressive Models
- Quantile Correlations and Quantile Autoregressive Modeling
- LEAST ABSOLUTE DEVIATION ESTIMATION FOR UNIT ROOT PROCESSES WITH GARCH ERRORS
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