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Nonparametric pseudo-Lagrange multiplier stationarity testing

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  • Landajo, Manuel
  • Presno, María José

Abstract

The framework of stationarity testing is extended to allow a generic smooth trend function estimated nonparametrically. The asymptotic behavior of the pseudo-Lagrange Multiplier test is analyzed in this setting. The proposed implementation delivers a consistent test whose limiting null distribution is standard normal. Theoretical analyses are complemented with simulation studies and some empirical applications.

Suggested Citation

  • Landajo, Manuel & Presno, María José, 2010. "Nonparametric pseudo-Lagrange multiplier stationarity testing," MPRA Paper 25659, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25659
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    File URL: https://mpra.ub.uni-muenchen.de/25659/1/MPRA_paper_25659.pdf
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    References listed on IDEAS

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    Cited by:

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    More about this item

    Keywords

    Time series; stationarity testing; limiting distribution; nonparametric regression; nonparametric hypothesis testing;
    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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