Specification testing in nonlinear and nonstationary time series autoregression

Date

2009

Authors

Gao, J.
King, M.
Lu, Z.
Tjostheim, D.

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Annals of Statistics, 2009; 37(6B):3893-3928

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Jiti Gao, Maxwell King, Zudi Lu, and Dag Tjøstheim

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Abstract

This paper considers a class of nonparametric autoregressive models with nonstationarity. We propose a nonparametric kernel test for the conditional mean and then establish an asymptotic distribution of the proposed test. Both the setting and the results differ from earlier work on nonparametric autoregression with stationarity. In addition, we develop a new bootstrap simulation scheme for the selection of a suitable bandwidth parameter involved in the kernel test as well as the choice of a simulated critical value. The finite-sample performance of the proposed test is assessed using one simulated example and one real data example.

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© Institute of Mathematical Statistics, 2009

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