Improving the Performance of a Long-Run Variance Ratio Test for a Unit Root

Hugo Ferrer-Pérez, María-Isabel Ayuda () and Antonio Aznar
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Hugo Ferrer-Pérez: Center for Agro-Food Economy and Development
Antonio Aznar: University of Zaragoza
Authors registered in the RePEc Author Service: Hugo Ferrer Pérez

The Japanese Economic Review, 2019, vol. 70, issue 2, No 6, 258-274

Abstract: Abstract Cai and Shintani (2006, Econometric Theory, 22, 347–372) considered the impact of introducing an inconsistent long-run variance estimator when constructing a class of kernel-based ratio tests for testing non-stationarity in the series. They found that the quotient of two estimators with different rates of convergence under the null and the alternative hypotheses may lead to a test having an interesting size and power trade-off. This paper develops modified versions of this test, presents new asymptotic results and tabulates critical values. The finite sample performance is explored through Monte Carlo simulations. The results show that the modifications proposed lead to more powerful unit root tests.

Keywords: C12; C22 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1111/jere.12185

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