On the power of durbin-watson statistic against fractionally integrated processes
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Publication:4224731
DOI10.1080/07474939808800423zbMath0913.62087OpenAlexW1967849808MaRDI QIDQ4224731
Publication date: 10 June 1999
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474939808800423
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Non-Markovian processes: hypothesis testing (62M07)
Related Items (2)
The spurious regression of fractionally integrated processes ⋮ Rescaled variance and related tests for long memory in volatility and levels
Cites Work
- Unnamed Item
- 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?
- Limiting power of unit-root tests in time-series regression
- Some evidence on the accuracy of Phillips-Perron tests using alternative estimates of nuisance parameter
- Long memory relationships and the aggregation of dynamic models
- The distribution of the Durbin-Watson statistic in integrated and near-integrated models
- On the power of unit root tests against fractional alternatives
- Long memory processes and fractional integration in econometrics
- Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series
- On the power of the KPSS test of stationarity against fractionally-integrated alternatives
- The spurious regression of fractionally integrated processes
- The Fractional Unit Root Distribution
- Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk
- Testing for unit roots in autoregressive-moving average models of unknown order
- Testing for a unit root in time series regression
- Trends versus Random Walks in Time Series Analysis
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Fractional differencing
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Long-Term Memory in Stock Market Prices
- Time Series Regression with a Unit Root
- Highly Insignificant F-Ratios
- Fractional Brownian Motions, Fractional Noises and Applications
- The Invariance Principle for Stationary Processes
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