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Cumulative sum estimator for change-point in panel data

Author

Listed:
  • Zhuoheng Chen

    (Wuhan University
    Huaqiao University)

  • Yijun Hu

    (Wuhan University)

Abstract

We propose a new estimator for the common change-point in means for panel data. Cumulative sum method is used for estimating the common change-point. We establish the consistency of the estimated change-point, and provide the rate of convergence. Comparison with the existing results is made in a simulation study via Monte Carlo method, which shows that our proposed method is more efficient.

Suggested Citation

  • Zhuoheng Chen & Yijun Hu, 2017. "Cumulative sum estimator for change-point in panel data," Statistical Papers, Springer, vol. 58(3), pages 707-728, September.
    • Handle: RePEc:spr:stpapr:v:58:y:2017:i:3:d:10.1007_s00362-015-0722-y
    DOI: 10.1007/s00362-015-0722-y
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    References listed on IDEAS

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    5. Hariz, Samir Ben & Wylie, Jonathan J., 2005. "Rates of convergence for the change-point estimator for long-range dependent sequences," Statistics & Probability Letters, Elsevier, vol. 73(2), pages 155-164, June.
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    10. Bischoff, W. & Gegg, A., 2011. "Partial sum process to check regression models with multiple correlated response: With an application for testing a change-point in profile data," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 281-291, February.
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    Cited by:

    1. Haoran Lu & Dianpeng Wang, 2024. "Grouped Change-Points Detection and Estimation in Panel Data," Mathematics, MDPI, vol. 12(5), pages 1-20, March.
    2. Gabriela Ciuperca, 2022. "Real-time detection of a change-point in a linear expectile model," Statistical Papers, Springer, vol. 63(4), pages 1323-1367, August.

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