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A note on the estimation of long-run relationships in panel equations with cross-section linkages

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  • Di Iorio, Francesca
  • Fachin, Stefano

Abstract

The authors address the issue of estimation and inference in dependent non-stationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators, such as fully modified ordinary least squares and dynamic ordinary least squares. Seemingly unrelated regression estimators perform badly, or are even unfeasible, when the time dimension is not very large compared to the cross-section dimension.

Suggested Citation

  • Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-18.
    • Handle: RePEc:zbw:ifweej:201220
    DOI: 10.5018/economics-ejournal.ja.2012-20
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    Citations

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    Cited by:

    1. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
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    3. Dierk Herzer, 2017. "The Long-run Relationship Between Trade and Population Health: Evidence from Five Decades," The World Economy, Wiley Blackwell, vol. 40(2), pages 462-487, February.
    4. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    5. Muhammad Javid, 2019. "Public and Private Infrastructure Investment and Economic Growth in Pakistan: An Aggregate and Disaggregate Analysis," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    6. Néstor Adrián Le Clech, 2023. "Productive capacity and international competitiveness: evidence from Latin America and Caribbean countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(3), pages 695-724, August.
    7. Serdar Ongan & Ismet Gocer, 2017. "Testing The Causalities Between Economic Policy Uncertainty And The Us Stock Indices: Applications Of Linear And Nonlinear Approaches," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-20, December.
    8. Francesca Di Iorio & Stefano Fachin, 2014. "Dealing with unobservable common trends in small samples: a panel cointegration approach," DSS Empirical Economics and Econometrics Working Papers Series 2014/5, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

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    More about this item

    Keywords

    panel cointegration; fully modified ordinary least squares; fully modified seemingly unrelated regression; dynamic ordinary least squares; dynamic seemingly unrelated regression;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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