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Is MORE LESS? The role of data augmentation in testing for structural breaks

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  • Rao, Yao
  • McCabe, Brendan

Abstract

In this paper, we examine the impact of increasing the size of a data set in detecting structural breaks. Based on an empirical application, supported by theoretical justification and a simulation experiment, we find that larger sample sizes may make it more rather than less difficult to determine the existence of a structural break.

Suggested Citation

  • Rao, Yao & McCabe, Brendan, 2017. "Is MORE LESS? The role of data augmentation in testing for structural breaks," Economics Letters, Elsevier, vol. 155(C), pages 131-134.
    • Handle: RePEc:eee:ecolet:v:155:y:2017:i:c:p:131-134
    DOI: 10.1016/j.econlet.2017.03.033
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    References listed on IDEAS

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    1. Ploberger, Werner & Krämer;, Walter, 1990. "The Local Power of the CUSUM and CUSUM of Squares Tests," Econometric Theory, Cambridge University Press, vol. 6(3), pages 335-347, September.
    2. B. P. M. McCabe & M. J. Harrison, 1980. "Testing the Constancy of Regression Relationships Over Time Using Least Squares Residuals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 142-148, June.
    3. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
    4. Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-285, March.
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    Cited by:

    1. Yao Rao & Brendan McCabe, 2020. "Structural Change and the Problem of Phantom Break Locations," Manchester School, University of Manchester, vol. 88(1), pages 211-228, January.

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    More about this item

    Keywords

    Structural change; CUSUM test; Regression;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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