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Size Refinement of Empirical Likelihood Tests in Time Series Models using Sieve Bootstraps

Lee, Jin

  • Received : 2013.03.22
  • Accepted : 2013.05.21
  • Published : 2013.05.31

Abstract

We employ sieve bootstraps for empirical likelihood tests in time series models because their null distributions are often vulnerable to the presence of serial dependence. We found a significant size refinement of the bootstrapped versions of a Lagrangian Multiplier type test statistic regardless of the bandwidth choice required by long-run variance estimations.

Keywords

Time series;empirical likelihood;size of the test;sieve bootstrap

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Acknowledgement

Supported by : National Research Foundation of Korean