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Empirical power of the Kwiatkowski-Phillips-Schmidt-Shin test

Author

Listed:
  • Ewa M. Syczewska

    (Warsaw School of Economics)

Abstract

The aim of this paper is to study properties of the Kwiatkowski-Phillips-Schmidt-Shin test (KPSS test), introduced in Kwiatkowski et al. (1992) paper. The null of the test corresponds to stationarity of a series, the alternative to its nonstationarity. Distribution of the test statistics is nonstandard, asymptotically converges to Brownian bridges as was shown in original paper. The authors produced tables of critical values based on asymptotic approximation. Here we present results of simulation experiment aimed at studying small sample properties of the test and its empirical power.

Suggested Citation

  • Ewa M. Syczewska, 2010. "Empirical power of the Kwiatkowski-Phillips-Schmidt-Shin test," Working Papers 45, Department of Applied Econometrics, Warsaw School of Economics.
    • Handle: RePEc:wse:wpaper:45
    as

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    Citations

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    Cited by:

    1. Navoda Edirisinghe & Selliah Sivarajasingham & John Nigel, 2015. "An Empirical Study of the Fisher Effect and the Dynamic Relationship between Inflation and Interest Rate in Sri Lanka," International Journal of Business and Social Research, LAR Center Press, vol. 5(1), pages 47-62, January.
    2. Manqoba Ntshakala & Laurence Harris, 2018. "The information content of the yield spread about future inflation in South Africa," WIDER Working Paper Series wp-2018-63, World Institute for Development Economic Research (UNU-WIDER).
    3. Ali Razmi & Saeed Golian & Zahra Zahmatkesh, 2017. "Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2065-2083, May.
    4. Emilian DOBRESCU, 2022. "Macroeconomic Measurement of Expectations versus Reality," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-30, October.
    5. Sean M Gibbons & Sean M Kearney & Chris S Smillie & Eric J Alm, 2017. "Two dynamic regimes in the human gut microbiome," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-20, February.
    6. Marios Poulos, 2016. "Determining the Stationarity Distance via a Reversible Stochastic Process," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-23, October.
    7. Navoda Edirisinghe & Selliah Sivarajasingham & John Nigel, 2015. "An Empirical Study of the Fisher Effect and the Dynamic Relationship between Inflation and Interest Rate in Sri Lanka," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(1), pages 47-62, January.
    8. Laurence Harris & Manqoba Ntshakala, 2018. "The information content of the yield spread about future inflation in South Africa," WIDER Working Paper Series 63, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    KPSS test; stationarity; integration; empirical power of KPSS test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions

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