LEAST ABSOLUTE DEVIATION ESTIMATION FOR UNIT ROOT PROCESSES WITH GARCH ERRORS
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Publication:5411515
DOI10.1017/S0266466608090488zbMath1284.62565MaRDI QIDQ5411515
Publication date: 23 April 2014
Published in: Econometric Theory (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric hypothesis testing (62F03) Central limit and other weak theorems (60F05) Statistical methods; economic indices and measures (91B82)
Related Items (6)
Nearly nonstationary processes under infinite variance GARCH noises ⋮ QUANTILE DOUBLE AUTOREGRESSION ⋮ On a Partially Non-Stationary Vector AR Model with Vector GARCH Noises: Estimation and Testing ⋮ Least absolute deviation estimation for AR(1) processes with roots close to unity ⋮ A HYBRID BOOTSTRAP APPROACH TO UNIT ROOT TESTS ⋮ Linear double autoregression
Cites Work
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- On \(s\)-quasinormal and \(c\)-normal subgroups of a finite group.
- Nonparameteric estimation in mixing sequences of random variables
- Limiting distributions of least squares estimates of unstable autoregressive processes
- Weak limit theorems for stochastic integrals and stochastic differential equations
- M-estimation for autoregression with infinite variance
- Distribution theory for unit root tests with conditional heteroskedasticity
- Least absolute deviation estimation for regression with ARMA errors
- Limiting distributions of maximum likelihood estimators for unstable autoregressive moving-average time series with general autoregressive heteroscedastic errors
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Generalized autoregressive conditional heteroscedasticity
- Limit theory for the sample autocorrelations and extremes of a GARCH \((1,1)\) process.
- Stable limits of martingale transforms with application to the estimation of GARCH parame\-ters
- A Brief Survey of Bandwidth Selection for Density Estimation
- On a Mixture GARCH Time-Series Model
- Diagnostic checking for time series models with conditional heteroscedasticity estimated by the least absolute deviation approach
- Multiple Time Series Regression with Integrated Processes
- Testing for a unit root in time series regression
- Asymptotic Theory of Least Absolute Error Regression
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Time Series Regression with a Unit Root
- Estimation and Testing for Unit Root Processes with GARCH (1, 1) Errors: Theory and Monte Carlo Evidence
- Inference in Arch and Garch Models with Heavy-Tailed Errors
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