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Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle

Author

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  • Di Iorio, Francesca
  • Fachin, Stefano

Abstract

Stability tests for cointegrating coefficients are known to have very low power with small to medium sample sizes. In this paper we propose to solve this problem by extending the tests to dependent cointegrated panels through the stationary bootstrap. Simulation evidence shows that the proposed panel tests improve considerably on asymptotic tests applied to individual series. As an empirical illustration we examined investment and saving for a panel of 14 European countries over the 1960-2002 period. While the individual stability tests, contrary to expectations and graphical evidence, in almost all cases do not reject the null of stability, the bootstrap panel tests lead to the more plausible conclusion that the long-run relationship between these two variables is likely to have undergone a break.

Suggested Citation

  • Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics Discussion Papers 2007-39, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:6166
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    Cited by:

    1. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2010. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," Economic Modelling, Elsevier, vol. 27(5), pages 1269-1273, September.
    2. Piotr Misztal, 2011. "The Feldstein-Horioka Hypothesis in Countries with Varied Levels of Economic Development," Contemporary Economics, Vizja University, vol. 5(2), June.
    3. Ketenci, Natalya, 2013. "The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach," Research in Economics, Elsevier, vol. 67(1), pages 76-87.
    4. Kumar, Saten & Sen, Rahul & Srivastava, Sadhana, 2014. "Does economic integration stimulate capital mobility? An analysis of four regional economic communities in Africa," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 33-50.
    5. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.
    6. Mu-Shun Wang, 2013. "An Investigation of the Feldstein–Horioka Puzzle for the Association of Southeast Asian Nations Economies," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(4), pages /, December.
    7. repec:bla:ausecr:v:46:y:2013:i:4:p:424-443 is not listed on IDEAS
    8. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    9. Thai-Ha Le & Youngho Chang & Donghyun Park, 2019. "Economic development and environmental sustainability: evidence from Asia," Empirical Economics, Springer, vol. 57(4), pages 1129-1156, October.
    10. Holmes, Mark J. & Otero, Jesús, 2014. "Re-examining the Feldstein–Horioka and Sachs' views of capital mobility: A heterogeneous panel setup," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 1-11.
    11. Saten Kumar & B. Bhaskara Rao, 2011. "A Time‐series Approach to the Feldstein–Horioka Puzzle with Panel Data from the OECD Countries," The World Economy, Wiley Blackwell, vol. 34(3), pages 473-485, March.
    12. Thai-Ha Le, Youngho Chang, and Donghyun Park, 2021. "Governance, Environmental Vulnerability, and PM2.5 Concentrations: International Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    13. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    14. 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.
    15. Naib ALAKBAROV & Yılmaz BAYAR, 2021. "International Financial Market Integration and The Feldstein–Horioka Puzzle: Evidence from Emerging Market Economies," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 143-165, December.

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    JEL classification:

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

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