4.2 Article

Empirical Likelihood-based Inference for Stationary-ergodicity of the Generalized Random Coefficient Autoregressive Model

Journal

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volume 44, Issue 12, Pages 2586-2599

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2013.786786

Keywords

Empirical likelihood; Least squares estimation; Asymptotic normality; Generalized random coefficient autoregressive model; Confidence region

Funding

  1. National Natural Science Foundation of China [10971081, 11001105, 11071126, 10926156, 11071269, J0730101]
  2. Specialized Research Fund for the Doctoral Program of Higher Education [20070183023, 20110061110003]
  3. Program for New Century Excellent Talents in University [NCET-08-237]
  4. Scientific Research Fund of Jilin University [201100011, 200810024, 200903278]
  5. General Humanities and Social Science Research Projects - Ministry of Education [11YJAZH125]
  6. Science and Technology Development Program of Jilin Province [201201082]
  7. 985 project of Jilin University

Ask authors/readers for more resources

In this article, we consider the application of the empirical likelihood method to the generalized random coefficient autoregressive (GRCA) model. When the order of the model is 1, we derive an empirical likelihood ratio test statistic to test the stationary-ergodicity. Some simulation studies are also conducted to investigate the finite sample performances of the proposed test.

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