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On LM‐type tests for seasonal unit roots in the presence of a break in trend

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  • Luis C. Nunes
  • Paulo M. M. Rodrigues

Abstract

This paper proposes tests for seasonal unit roots allowing for the presence of a break in the trend slope occurring at an unknown date. In particular, new LM type tests are derived based on the framework introduced by Hylleberg, Engle, Granger and Yoo [HEGY] (1990). Null asymptotic distributions are derived for the no break case as well as when a break is present in the data generating process. A Monte Carlo investigation on the finite sample size and power performance of the new procedures is presented.
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Suggested Citation

  • Luis C. Nunes & Paulo M. M. Rodrigues, 2011. "On LM‐type tests for seasonal unit roots in the presence of a break in trend," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(2), pages 108-134, March.
  • Handle: RePEc:bla:jtsera:v:32:y:2011:i:2:p:108-134
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    1. Jushan Bai, 1994. "Least Squares Estimation Of A Shift In Linear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(5), pages 453-472, September.
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    6. Uwe Hassler & Paulo M. M. Rodrigues, 2004. "Seasonal Unit Root Tests Under Structural Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(1), pages 33-53, January.
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    11. Burridge, Peter & Taylor, A M Robert, 2001. "On the Properties of Regression-Based Tests for Seasonal Unit Roots in the Presence of Higher-Order Serial Correlation," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 374-379, July.
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