Leybourne, Stephen J.; Mills, Terence C.; Newbold, Paul Spurious rejections by Dickey-Fuller tests in the presence of a break under the null. (English) Zbl 0944.62083 J. Econom. 87, No. 1, 191-203 (1998). Summary: It is well known that if a series is generated by a process that is stationary around a broken trend, conventional Dickey-Fuller tests can have very low power. In this paper, the converse phenomenon is studied and illustrated. Suppose that the true generating process is integrated of order one, but with a break. Then it is shown that, if the break occurs early in the series, routine application of standard Dickey-Fuller tests can lead to a very serious problem of spurious rejection of the unit root null hypothesis. Cited in 2 ReviewsCited in 41 Documents MSC: 62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH) 62P20 Applications of statistics to economics Keywords:convergence; smooth transitions; stationary tests; structural break; unit autoregressive roots; tables; time series PDF BibTeX XML Cite \textit{S. J. Leybourne} et al., J. Econom. 87, No. 1, 191--203 (1998; Zbl 0944.62083) Full Text: DOI References: [1] Banerjee, A.; Lumsdaine, R. L.; Stock, J. H.: Recursive and sequential tests of the unit root and trend break hypothesestheory and international evidence. Journal of business and economic statistics. 10, 271-287 (1992) [2] Campos, J.; Ericsson, N. R.; Hendry, D. F.: Cointegration tests in the presence of structural breaks. Journal of econometrics 70, 187-220 (1996) · Zbl 0834.62083 [3] Leybourne, S. J.: Testing for unit roots using forward and reverse Dickey–fuller tests. Oxford bulletin of economics and statistics 57, 559-571 (1995) [4] Leybourne, S. J.; Newbold, P.; Vougas, D.: Unit roots and smooth transitions. Journal of time series analysis 19, 83-97 (1998) · Zbl 0902.62132 [5] Maddison, A., 1995. Monitoring the World Economy 1820–1992. OECD, Paris. [6] Ng, S.; Perron, P.: Unit root tests in ARMA models with data-dependent methods for the selection of the truncation lag. Journal of the American statistical association 90, 268-281 (1995) · Zbl 0820.62074 [7] Perron, P.: The great crash, the oil price shock and the unit root hypothesis. Econometrica 57, 1361-1401 (1989) · Zbl 0683.62066 [8] Perron, P.: The great crash, the oil price shock and the unit root hypothesiserratum. Econometrica. 61, 248-249 (1993) [9] Perron, P., 1994. Trend, unit root and structural change in macroeconomic time series. In: Rao, B.B. (ed.), Cointegration for the Applied Economist. Macmillan, New York, NY, pp. 113-146. [10] Perron, P.; Vogelsang, T. J.: Nonstationarity and level shifts with an application to purchasing power parity. Journal of business and economic statistics 10, 301-320 (1992) [11] Zivot, E.; Andrews, D. W. K.: Further evidence on the great crash, the oil price shock, and the unit root hypothesis. Journal of business and economic statistics 10, 251-270 (1992) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.