Joint Hypothesis Tests For A Random Walk Based On Instrumental Variable Estimators
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DOI: 10.1111/j.1467-9892.1992.tb00093.x
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Cited by:
- Costantini, Mauro & Sen, Amit, 2016. "A simple testing procedure for unit root and model specification," Computational Statistics & Data Analysis, Elsevier, vol. 102(C), pages 37-54.
- Alastair Hall, 1995. "Residual Autocovariances And Unit Root Tests Based On Instrumental Variable Estimators From Time Series Regression Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(6), pages 555-569, November.
- Hall, Alastair & Lee, Tae Yoon, 1996. "Instrumental variable based unit root tests when both ARMA (p, q) orders are chosen to be too large," Economics Letters, Elsevier, vol. 52(3), pages 247-255, September.
- Sen, Amit, 2007. "On the distribution of Dickey-Fuller unit root statistics when there is a break in the innovation variance," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 63-68, January.
- Sen, Amit, 2001. "Behaviour of Dickey-Fuller F-tests under the trend-break stationary alternative," Statistics & Probability Letters, Elsevier, vol. 55(3), pages 257-268, December.
- José Angel Roldán Casas & Rafaela Dios-Palomares, 2004. "A Strategy for Testing the Unit Root in AR(1) Model with Intercept. A Monte Carlo Experiment," Economic Working Papers at Centro de Estudios Andaluces E2004/37, Centro de Estudios Andaluces.
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