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Nonparametric pseudo-Lagrange multiplier stationarity testing

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  • Manuel Landajo

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  • María Presno

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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. Copyright The Institute of Statistical Mathematics, Tokyo 2013

Suggested Citation

  • Manuel Landajo & María Presno, 2013. "Nonparametric pseudo-Lagrange multiplier stationarity testing," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 125-147, February.
  • Handle: RePEc:spr:aistmt:v:65:y:2013:i:1:p:125-147
    DOI: 10.1007/s10463-012-0363-z
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    References listed on IDEAS

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    Cited by:

    1. M.J., Presno & M., Landajo & P., Fernandez Gonzalez, 2017. "The Shocks To Crude Oil Production. Nonparametric Stationarity Analysis For 20 OPEC And Non-OPEC Countries," MPRA Paper 81594, University Library of Munich, Germany.
    2. Presno, María José & Landajo, Manuel & Fernández, Paula, 2014. "Non-renewable resource prices: A robust evaluation from the stationarity perspective," Resource and Energy Economics, Elsevier, vol. 36(2), pages 394-416.

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