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Testing Cross-sectional Correlation in Large Panel Data Models with Serial Correlation

Author

Listed:
  • Badi H. Baltagi

    (Syracuse University)

  • Chihwa Kao

    (University of Connecticut)

  • Bin Peng

    (Huazhong University of Science and Technology)

Abstract

This paper considers the problem of testing cross-sectional correlation in large panel data models with serially correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in the errors. To control the size, this paper proposes a modification of Pesaran’s CD test to account for serial correlation of an unknown form in the error term. We derive the limiting distribution of this test as (N, T) → ∞. The test is distribution free and allows for unknown forms of serial correlation in the errors. Monte Carlo simulations show that the test has good size and power for large panels when serial correlation in the errors is present. JEL Classification: C13; C33 Key words: Cross-sectional Correlation Test; Serial Correlation; Large Panel Data Model

Suggested Citation

  • Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-sectional Correlation in Large Panel Data Models with Serial Correlation," Working papers 2016-32, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2016-32
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    References listed on IDEAS

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    More about this item

    Keywords

    cross-sectional correlation test; serial correlation; large panel data model;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C - Mathematical and Quantitative Methods
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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