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Classifying Exchange Rate Regimes by Regression Methods

Author

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  • Michael Bleaney
  • Mo Tian

Abstract

A new and easily implemented regression method is proposed for distinguishing floating from pegged regimes, whilst simultaneously identifying anchors of pegged currencies. The method can distinguish pegs with occasional devaluations from floats, and can be used to generate annual regime classifications. The method largely confirms the accuracy of the IMF’s de facto classification, but also shows that a significant minority of managed floats is close to being US dollar pegs. Even flexible managed floats have a strong tendency to track the US dollar.

Suggested Citation

  • Michael Bleaney & Mo Tian, 2014. "Classifying Exchange Rate Regimes by Regression Methods," Discussion Papers 14/02, University of Nottingham, School of Economics.
    • Handle: RePEc:not:notecp:14/02
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    File URL: https://www.nottingham.ac.uk/economics/documents/discussion-papers/14-02.pdf
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    Citations

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    Cited by:

    1. Punam Chuhan-Pole & Francisco H.G. Ferreira & Cesar Calderon & Luc Christiaensen & David Evans & Gerard Kambou & Sebastien Boreux & Vijdan Korman & Megumi Kubota & Mapi Buitano, "undated". "Africa's Pulse, April 2015," World Bank Publications - Reports 21736, The World Bank Group.
    2. Ahmad Hassan Ahmad & Eric J. Pentecost, 2020. "Testing the ‘Fear of Floating’ Hypothesis: A Statistical Analysis for Eight African Countries," Open Economies Review, Springer, vol. 31(2), pages 407-430, April.
    3. Michael Bleaney & Lin Yin, 2015. "Price Adjustment in Currency Unions," Discussion Papers 15/06, University of Nottingham, School of Economics.
    4. Sengupta, Rajeswari & Sen Gupta, Abhijit, 2015. "Is there a Case for Exchange Rate Coordination in South Asia?," MPRA Paper 69131, University Library of Munich, Germany.
    5. Carl Grekou & Cécile Couharde, 2020. "The Fata Morgana of Exchange Rate Regimes: Reconciling the LYS and the RR classifications," Working Papers hal-04159684, HAL.
    6. Eita, Joel Hinaunye & Khumalo, Zitsile Zamantungwa & Choga, Ireen, 2020. "Empirical test of the Balassa-Samuelson Effect in Selected African Countries," MPRA Paper 101489, University Library of Munich, Germany.
    7. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019, January-A.
    8. Cécile Couharde & Carl Grekou, 2021. "Better Two Eyes than One: A Synthesis Classification of Exchange Rate Regimes," Working Papers 2021-07, CEPII research center.
    9. Bleaney,Michael Francis & Halland,Havard, 2016. "Do resource-rich countries suffer from a lack of fiscal discipline ?," Policy Research Working Paper Series 7552, The World Bank.
    10. Michael Bleaney & Sweta Saxena & Lin Yin, 2016. "Exchange Rate Regimes and Growth Collapses," Discussion Papers 2016/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).

    More about this item

    Keywords

    exchange rates; currency pegs; trade JEL codes: F31;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

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