Unit-root testing: on the asymptotic equivalence of Dickey-Fuller with the log-log slope of a fitted autoregressive spectrum
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Publication:5391311
DOI10.1111/j.1467-9892.2010.00652.xzbMath1221.62125OpenAlexW2036245202MaRDI QIDQ5391311
Publication date: 6 April 2011
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9892.2010.00652.x
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric hypothesis testing (62F03) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
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- Efficient parameter estimation for self-similar processes
- Large-sample properties of parameter estimates for strongly dependent stationary Gaussian time series
- Small sample effects in time series analysis: A new asymptotic theory and a new estimate
- Non-stationary log-periodogram regression
- Log-periodogram regression of time series with long range dependence
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Unit Root Tests Based on Unconditional Maximum Likelihood Estimation for the Autoregressive Moving Average
- Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series
- The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis
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