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Testing for Breaks in Regression Models with Dependent Data

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  • Violetta Dalla
  • Javier Hidalgo

Abstract

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Suggested Citation

  • Violetta Dalla & Javier Hidalgo, 2015. "Testing for Breaks in Regression Models with Dependent Data," STICERD - Econometrics Paper Series /2015/584, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    • Handle: RePEc:cep:stiecm:/2015/584
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    File URL: https://sticerd.lse.ac.uk/dps/em/em584.pdf
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    References listed on IDEAS

    as
    1. Delgado, Miguel A. & Hidalgo, Javier, 2000. "Nonparametric inference on structural breaks," Journal of Econometrics, Elsevier, vol. 96(1), pages 113-144, May.
    2. Hidalgo, Javier, 1995. "A Nonparametric Conditional Moment Test for Structural Stability," Econometric Theory, Cambridge University Press, vol. 11(4), pages 671-698, August.
    3. Robinson, Peter M., 1997. "Large-sample inference for nonparametric regression with dependent errors," LSE Research Online Documents on Economics 302, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Nonparametric regression; Breaks/smoothness; Strong dependence; Extreme-values distribution; Frequency domain bootstrap algorithms.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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