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NOTES AND PROBLEMS A GENERAL BOUND FOR THE LIMITING DISTRIBUTION OF BREITUNG'S STATISTIC
Published online by Cambridge University Press: 09 July 2008
Abstract
We consider the Breitung (2002, Journal of Econometrics 108, 343–363) statistic ξn, which provides a nonparametric test of the I(1) hypothesis. If ξ denotes the limit in distribution of ξn as n → ∞, we prove (Theorem 1) that 0 ≤ ξ ≤ 1/π2, a result that holds under any assumption on the underlying random variables. The result is a special case of a more general result (Theorem 3), which we prove using the so-called cotangent method associated with Cauchy's residue theorem.
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References
REFERENCES
Abadir, K.M. & Magnus, J.R. (2005) Matrix Algebra. Cambridge University Press.CrossRefGoogle Scholar
Breitung, J. (2002) Nonparametric tests for unit roots and cointegration. Journal of Econometrics 108, 343–363.CrossRefGoogle Scholar
Conway, J.B. (1978) Functions of One Complex Variable I, 2nd ed., Graduate Texts in Mathematics. Springer-Verlag.CrossRefGoogle Scholar
Davidson, J. (2008) When is a time series I(0)? In Shephard, N. & Castle, J. (eds.), The Methodology and Practice of Econometrics, Oxford University Press. Forthcoming.Google Scholar
Dickey, D.A. & Fuller, W.A. (1979) Distribution of the estimates for autoregressive time series with a unit root. Journal of the American Statistical Association 74, 427–431.Google Scholar
Giraitis, L., Kokoszka, P., Leipus, R., & Teyssière, G. (2003) Rescaled variance and related tests for long memory in volatility and levels. Journal of Econometrics 112, 265–294.CrossRefGoogle Scholar
Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., & Shin, Y. (1992) 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? Journal of Econometrics 54, 159–178.CrossRefGoogle Scholar
Magnus, J.R. & Neudecker, H. (1988) Matrix Differential Calculus with Applications in Statistics and Econometrics. Wiley. Rev. ed., 1999.Google Scholar
Rutherford, D.E. (1946) Some continuant determinants arising in physics and chemistry. Proceedings of the Royal Society of Edinburgh, Section A 62, 229–236.Google Scholar
Tanaka, K. (1996) Time Series Analysis: Nonstationary and Noninvertible Distribution Theory. Wiley.Google Scholar
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