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Nonparametric panel stationarity testing with an application to crude oil production

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  • María José Presno
  • Manuel Landajo
  • Paula Fernandez-Gonzalez

Abstract

A nonparametric panel stationarity test is proposed which offers the advantage of not requiring prior specification of the trend function for each of the series in the panel. A bootstrap implementation of the test is outlined and its finite sample performance is analyzed via Monte Carlo simulations. An application is also included where the proposed test is used to analyze the stochastic properties of monthly crude oil production for a panel of 20 -both OPEC and non-OPEC- countries from 1973 to 2015. Our analysis detects strong evidence of non-stationarity, both globally and group-wise. Results have implications for the effectiveness of government intervention and stabilization policies.

Suggested Citation

  • María José Presno & Manuel Landajo & Paula Fernandez-Gonzalez, 2022. "Nonparametric panel stationarity testing with an application to crude oil production," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(4), pages 1033-1048, March.
    • Handle: RePEc:taf:japsta:v:49:y:2022:i:4:p:1033-1048
    DOI: 10.1080/02664763.2020.1846691
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