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Meta-analytic cointegrating rank tests for dependent panels

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  • Karaman Örsal, Deniz Dilan
  • Arsova, Antonia

Abstract

Two new panel cointegrating rank tests which are robust to cross-sectional dependence are proposed. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a meta-analytic approach, in which the p-values of the individual likelihood-ratio (LR) type test statistics computed from defactored data are combined into the panel statistics. A simulation study shows that the tests have reasonable size and power properties in finite samples. The application of the tests is illustrated by investigating the monetary exchange rate model for a panel data of 19 countries.

Suggested Citation

  • Karaman Örsal, Deniz Dilan & Arsova, Antonia, 2017. "Meta-analytic cointegrating rank tests for dependent panels," Econometrics and Statistics, Elsevier, vol. 2(C), pages 61-72.
    • Handle: RePEc:eee:ecosta:v:2:y:2017:i:c:p:61-72
    DOI: 10.1016/j.ecosta.2016.10.001
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    Cited by:

    1. Arsova, Antonia & Karaman Örsal, Deniz Dilan, 2021. "A panel cointegrating rank test with structural breaks and cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 17(C), pages 107-129.
    2. Antonia Arsova, 2021. "Exchange rate pass-through to import prices in Europe: a panel cointegration approach," Empirical Economics, Springer, vol. 61(1), pages 61-100, July.
    3. Ripamonti, Alexandre, 2019. "Capital Structure Adjustments and Asymmetric Information," MPRA Paper 96936, University Library of Munich, Germany.
    4. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.
    5. Antonia Arsova, 2019. "Exchange rate pass-through to import prices in Europe: A panel cointegration approach," Working Paper Series in Economics 384, University of Lüneburg, Institute of Economics.
    6. Rodriguez Gonzalez, Miguel & Wegener, Christoph & Basse, Tobias, 2022. "Re-investigating the insurance-growth nexus using common factors," Finance Research Letters, Elsevier, vol. 46(PA).

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    More about this item

    Keywords

    Panel cointegration; p-value; Common factors; Rank test; Cross-sectional dependence;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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