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PPP in OECD Countries: An Analysis of Real Exchange Rate Stationarity, Cross-Sectional Dependency and Structural Breaks

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  • Mark Holmes
  • Jesús Otero
  • Theodore Panagiotidis

Abstract

The stationarity of OECD real exchange rates over the period 1972–2008 is tested using a panel of 26 member countries. The methodology followed stems from the need to meet several key concerns: (i) the identification of which panel members are stationary; (ii) the presence of cross-sectional dependence among the countries in the panel; and (iii) the identification of potential structural breaks that might have occurred at different points in time. To address these concerns, we employ a recent test that examines the time series properties of the data within a panel framework, namely the Hadri and Rao (Oxford Bulletin of Economics and Statistics 70: 245–269, 2008 ) panel stationarity test. The real exchange rates of the 26 OECD countries are found to be stationary when considered as a panel, but only after allowing for endogenously-determined structural breaks and cross section dependence. We also find that once these structural breaks are removed from the underlying series, the half-life of shocks to the real exchange rate is much shorter than has been calculated in earlier studies. Copyright Springer Science+Business Media, LLC 2012

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  • Mark Holmes & Jesús Otero & Theodore Panagiotidis, 2012. "PPP in OECD Countries: An Analysis of Real Exchange Rate Stationarity, Cross-Sectional Dependency and Structural Breaks," Open Economies Review, Springer, vol. 23(5), pages 767-783, November.
  • Handle: RePEc:kap:openec:v:23:y:2012:i:5:p:767-783
    DOI: 10.1007/s11079-011-9234-0
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    2. Juan Carlos Cuestas, 2019. "On the evolution of competitiveness in Central and Eastern Europe: Is it broken?," Working Papers 2019/07, Economics Department, Universitat Jaume I, Castellón (Spain).
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    4. Michele Ca’ Zorzi & Jakub Muck & Michal Rubaszek, 2016. "Real Exchange Rate Forecasting and PPP: This Time the Random Walk Loses," Open Economies Review, Springer, vol. 27(3), pages 585-609, July.
    5. E. N. Gyamfi & E. F. Appiah, 2019. "Further evidence on the validity of purchasing power parity in selected African countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(2), pages 330-343, April.
    6. Angeliki N. Menegaki & Aviral Kumar Tiwari, 2018. "A global food–energy–water nexus with heterogeneity, non-stationarity and cross-sectional dependence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2723-2755, November.
    7. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2015. "Foreign exchange market interventions and the $-¥ exchange rate in the long run," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4037-4055, August.
    8. Rabe, Collin & Waddle, Andrea, 2020. "The evolution of purchasing power parity," Journal of International Money and Finance, Elsevier, vol. 109(C).
    9. A. Oznur Umit, 2016. "Stationarity of Real Exchange Rates in the ¡°Fragile Five¡±: Analysis with Structural Breaks," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(4), pages 254-270, April.

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    More about this item

    Keywords

    Heterogeneous dynamic panels; Purchasing power parity; Mean reversion; Panel stationarity test; F31; F33; G15;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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