Specification testing in nonlinear and nonstationary time series autoregression

By Jiti Gao, Maxwell L. King, Zudi Lu, Dag Tjøstheim. 2009

78 citations recorded by the source corpus.

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 finitesample performance of the proposed test is assessed using one simulated example and one real data example.

Subfields: Control and Systems Engineering, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9f5619c4ef0f2ee7ad29d12617f3b6cdb984c388

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

  1. Dag Tjøstheim
  2. Wenceslao González-Manteiga
  3. Rosa M. Crujeiras
  4. Michael H. Neumann

In Economics and Econometrics

  1. Jiti Gao
  2. Chaohua Dong
  3. Dag Tjøstheim
  4. Wenceslao González-Manteiga
  5. Rosa M. Crujeiras
  6. Anne Leucht
  7. Michael H. Neumann
  8. Yiguo Sun

In Statistics and Probability

  1. Anne Leucht
  2. Michael H. Neumann
  3. Wenceslao González-Manteiga
  4. Rosa M. Crujeiras
  5. Chaohua Dong
  6. Dag Tjøstheim
  7. Jiti Gao
  8. Paul Doukhan

Citations in the corpus