NONPARAMETRIC SPECIFICATION TESTING FOR NONLINEAR TIME SERIES WITH NONSTATIONARITY

Jiti Gao, Maxwell King, Zudi Lu and Tj?stheim, Dag

Econometric Theory, 2009, vol. 25, issue 06, pages 1869-1892

Abstract: This paper considers a nonparametric time series regression model with a nonstationary regressor. We construct a nonparametric test for whether the regression is of a known parametric form indexed by a vector of unknown parameters. We establish the asymptotic distribution of the proposed test statistic. Both the setting and the results differ from earlier work on nonparametric time series regression with stationarity. In addition, we develop a bootstrap simulation scheme for the selection of suitable bandwidth parameters involved in the kernel test as well as the choice of simulated critical values. An example of implementation is given to show that the proposed test works in practice.

Date: 2009

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Persistent link: http://EconPapers.repec.org/RePEc:cup:etheor:v:25:y:2009:i:06:p:1869-1892_99

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