Testing for shifts in mean with monotonic power against multiple structural changes

研究成果: ジャーナルへの寄稿記事

抜粋

It is known that several widely used structural change tests have non-monotonic power because the long-run variance is poorly estimated under the alternative hypothesis. In this paper, we propose a modified long-run variance estimator to alleviate this problem. We theoretically show that the tests with our long-run variance estimator are consistent against large multiple structural changes. Simulation results show that the proposed test performs well in finite samples.

元の言語英語
ページ(範囲)2006-2030
ページ数25
ジャーナルJournal of Statistical Computation and Simulation
89
発行部数11
DOI
出版物ステータス出版済み - 7 24 2019

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All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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