Residual log-periodogram inference for long-run relationships
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Publication:269403
DOI10.1016/j.jeconom.2005.03.001zbMath1337.62232OpenAlexW2045528145MaRDI QIDQ269403
Carlos Velasco, Francesc Marmol, Uwe Hassler
Publication date: 18 April 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10016/4359
long memoryexchange ratesfractional cointegrationlimiting normalitynon-stationaritysemiparametric inference
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Non-Markovian processes: estimation (62M09) Economic time series analysis (91B84)
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Cites Work
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- The maximum of the periodogram
- Large-sample properties of parameter estimates for strongly dependent stationary Gaussian time series
- On the properties of the Dickey-Pantula test against fractional alternatives
- Non-stationary log-periodogram regression
- Alternative forms of fractional Brownian motion
- No-cointegration test based on fractional differencing: Some Monte Carlo results
- Semiparametric analysis of long-memory time series
- On the power of unit root tests against fractional alternatives
- Testing of unit root and other nonstationary hypotheses in macroeconomic time series
- Large-sample inference for nonparametric regression with dependent errors
- Narrow-band analysis of nonstationary processes
- Determination of cointegrating rank in fractional systems.
- Inference on the cointegration rank in fractionally integrated processes.
- The periodogram of an i.i.d. sequence.
- Log-periodogram regression of time series with long range dependence
- Gaussian semiparametric estimation of long range dependence
- Long memory processes and fractional integration in econometrics
- A residual based test for the null hypothesis of cointegration.
- THE FUNCTIONAL CENTRAL LIMIT THEOREM AND WEAK CONVERGENCE TO STOCHASTIC INTEGRALS II
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Asymptotic Properties of Residual Based Tests for Cointegration
- The mean squared error of Geweke and Porter-Hudak's estimator of the memory parameter of a long-memory time series
- Fractional differencing
- THE DISTRIBUTION OF PERIODOGRAM ORDINATES
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Gaussian Semiparametric Estimation of Non-stationary Time Series
- ESTIMATION OF THE MEMORY PARAMETER FOR NONSTATIONARY OR NONINVERTIBLE FRACTIONALLY INTEGRATED PROCESSES
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Plug‐in Selection of the Number of Frequencies in Regression Estimates of the Memory Parameter of a Long‐memory Time Series
- NON-GAUSSIAN LOG-PERIODOGRAM REGRESSION
- The average periodogram for nonstationary vector time series
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