Unit root tests and structural change when the initial observation is drawn from its unconditional distribution
AbstractFollowing Elliott (1999; International Economic Review 40, 767--83.) and Perron and Rodr�guez (2003; Journal of Econometrics 115,1--27), we develop unit root tests in the context of structural change models using GLS detrended data ( Elliott, Rothenberg and Stock 1996; Econometrica 64, 813--39) when the initial observation is drawn from its unconditional distribution. We derive the limiting distributions of the M-tests ( Stock, 1999 cointegration, causality and forecasting; Oxford University Press, 137--67; Perron and Ng 1996; Review of Economics Studies 63, 435--463), the ADF statistic and a feasible optimal point test from which we derive the power envelope. Asymptotic power functions are calculated and compared with the case where the initial condition is not random. Finite sample size and power simulations under various forms of error processes are performed using different lag selection methods and two different methods to select the break point. Empirical applications are also provided. Copyright Royal Economic Society 2006
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 9 (2006)
Issue (Month): 2 (07)
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Other versions of this item:
- Hui Liu & Gabriel Rodriguez, 2006. "Unit Root Tests and Structural Change when the Initial Observation is Drawn from its unconditional Distribution," Working Papers 0602E, University of Ottawa, Department of Economics.
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
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