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Classifying Exchange Rate Regimes: A Statistical Analysis of Alternative Methods

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  • Michael Bleaney,
  • Manuela Francisco

Abstract

For developing countries, it is shown that different exchange rate classification schemes paint a very inconsistent picture. Disagreements between alternative schemes are as great as with the official scheme. Only the official scheme shows a trend towards floating.

Suggested Citation

  • Michael Bleaney, & Manuela Francisco, 2007. "Classifying Exchange Rate Regimes: A Statistical Analysis of Alternative Methods," Discussion Papers 07/05, University of Nottingham, CREDIT.
    • Handle: RePEc:not:notcre:07/05
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    File URL: https://www.nottingham.ac.uk/credit/documents/papers/07-05.pdf
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    References listed on IDEAS

    as
    1. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    2. Carmen M. Reinhart & Kenneth S. Rogoff, 2004. "The Modern History of Exchange Rate Arrangements: A Reinterpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 1-48.
    3. Hausmann, Ricardo & Panizza, Ugo & Stein, Ernesto, 2001. "Why do countries float the way they float?," Journal of Development Economics, Elsevier, vol. 66(2), pages 387-414, December.
    4. Michael Bleaney, & Manuela Francisco, 2007. "The Performance of Exchange Rate Regimes in Developing Countries - Does the Classifications Scheme Matter?," Discussion Papers 07/04, University of Nottingham, CREDIT.
    5. repec:rus:hseeco:181565 is not listed on IDEAS
    6. Jay C. Shambaugh, 2004. "The Effect of Fixed Exchange Rates on Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 301-352.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Michael Bleaney & Mo Tian, 2012. "Currency Networks, Bilateral Exchange Rate Volatility and the Role of the US Dollar," Open Economies Review, Springer, vol. 23(5), pages 785-803, November.
    2. Sidi Mohammed Chekouri & Abderrahim Chibi & Mohamed Benbouziane, 2022. "Identifying Algeria’s de facto exchange rate regime: a wavelet-based approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-17, December.
    3. Michael Bleaney & Manuela Francisco, 2010. "What Makes Currencies Volatile? An Empirical Investigation," Open Economies Review, Springer, vol. 21(5), pages 731-750, November.
    4. Michael F. Bleaney & Mo Tian & Lin Yin, 2017. "De Facto Exchange Rate Regime Classifications: An Evaluation," Open Economies Review, Springer, vol. 28(2), pages 369-382, April.
    5. Mahvash S Qureshi & Mr. Charalambos G Tsangarides, 2010. "The Empirics of Exchange Rate Regimes and Trade: Words vs. Deeds," IMF Working Papers 2010/048, International Monetary Fund.
    6. Zeng, Ting & Zhao, Wei & Liu, Zhengning, 2022. "Investment response to exchange rate uncertainty: Evidence from Chinese exporters," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 488-505.

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    More about this item

    Keywords

    Exchange rates; correlation; persistence;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • F0 - International Economics - - General

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