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Reprint of: The likelihood ratio test for structural changes in factor models

Author

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  • Bai, Jushan
  • Duan, Jiangtao
  • Han, Xu

Abstract

A factor model with a break in its factor loadings is observationally equivalent to a model without changes in the loadings but with a change in the variance of its factors. This approach effectively transforms a high-dimensional structural change problem into a low-dimensional problem. This paper considers the likelihood ratio (LR) test for a variance change in the estimated factors. The LR test implicitly explores a special feature of the estimated factors: the pre-break and post-break variances can be a singular matrix under the alternative hypothesis, making the LR test diverging faster and thus more powerful than Wald-type tests. The better power property of the LR test is also confirmed by simulations. We also consider mean changes and multiple breaks. We apply this procedure to the factor modeling of the US employment and study the structural change problem using monthly industry-level data.

Suggested Citation

  • Bai, Jushan & Duan, Jiangtao & Han, Xu, 2024. "Reprint of: The likelihood ratio test for structural changes in factor models," Journal of Econometrics, Elsevier, vol. 244(2).
    • Handle: RePEc:eee:econom:v:244:y:2024:i:2:s0304407624000915
    DOI: 10.1016/j.jeconom.2024.105745
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    Keywords

    High-dimensional factor models; Structural breaks; LR test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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