A unit root test for an AR(1) process with AR errors by using random weighted bootstrap
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Publication:6054007
DOI10.1007/s10114-023-1535-xMaRDI QIDQ6054007
Xiao Hui Liu, Ya-wen Fan, Yu-zi Liu, Shi Hua Luo
Publication date: 24 October 2023
Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)
Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Parametric inference and fuzziness (62F86)
Cites Work
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- Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?
- Distribution theory for unit root tests with conditional heteroskedasticity
- Long memory processes and fractional integration in econometrics
- The performance of unit root tests under level-dependent heteroskedasticity
- Predictive regressions for macroeconomic data
- Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence
- A note on unit root tests with heavy-tailed GARCH errors
- A simple resampling method by perturbing the minimand
- Asymptotic Theory and Unified Confidence Region for an Autoregressive Model
- UNIT ROOT TESTING FOR FUNCTIONALS OF LINEAR PROCESSES
- Testing for unit roots in autoregressive-moving average models of unknown order
- Testing for a unit root in time series regression
- Towards a unified asymptotic theory for autoregression
- ASYMPTOTIC INFERENCE FOR UNIT ROOT PROCESSES WITH GARCH(1,1) ERRORS
- Estimation and Testing for Unit Root Processes with GARCH (1, 1) Errors: Theory and Monte Carlo Evidence
- Efficient Tests for an Autoregressive Unit Root
- Bootstrapping the Portmanteau Tests in Weak Auto-Regressive Moving Average Models
- Analysis of Financial Time Series
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