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World Consistent Equilibrium Exchange Rates


  • Agnès Bénassy-Quéré
  • Amina Lahrèche-Révil
  • Valérie Mignon


This paper proposes a systematic analysis of the problem of world consistency when deriving equilibrium exchange rates. World inconsistency can arise for two reasons. First, real effective misalignments of currencies out of the considered sample are implicitly assumed to be the mirror image of those of the currencies under review. Second, only NÂ -Â 1 independent bilateral equilibrium exchange rates can be derived from a set of N effective rates. Here we measure the extent of these two problems by estimating equilibrium exchange rates for 15 countries of the G20 in effective as well as bilateral terms and by varying the assumptions concerning the rest of the world (RoW) and the numeraire currency. Our results show that the way the rest of the world is tackled has a major impact on the calculation of effective misalignments and especially bilateral misalignments.
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  • Agnès Bénassy-Quéré & Amina Lahrèche-Révil & Valérie Mignon, 2006. "World Consistent Equilibrium Exchange Rates," Working Papers 2006-20, CEPII research center.
  • Handle: RePEc:cii:cepidt:2006-20

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    References listed on IDEAS

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    Cited by:

    1. Blaise Gnimasoun & Valérie Mignon, 2013. "Current-account adjustments and exchange-rate misalignments," EconomiX Working Papers 2013-31, University of Paris Nanterre, EconomiX.
    2. Agnès Bénassy-Quéré & Sophie Béreau & Valérie Mignon, 2008. "How Robust are Estimated Equilibrium Exchange Rates? A Panel BEER Approach," Working Papers 2008-01, CEPII research center.
    3. Korhonen, Iikka & Ritola, Maria, 2009. "Renminbi misaligned : Results from meta-regressions," BOFIT Discussion Papers 13/2009, Bank of Finland, Institute for Economies in Transition.
    4. López-Villavicencio, Antonia & Mignon, Valérie, 2017. "Exchange rate pass-through in emerging countries: Do the inflation environment, monetary policy regime and central bank behavior matter?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 20-38.
    5. Luo, Ji & Williams, Gary W., 2015. "The Impacts of Chinese Exchange Rate Policy on World Soybean and Products Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205075, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    6. Claudiu T Albulescu & Daniel Goyeau, 2011. "Estimation of equilibrium exchange rate in CEECs: a rolling window approach," Economics Bulletin, AccessEcon, vol. 31(2), pages 1212-1222.
    7. Gnabo, Jean-Yves & Laurent, Sébastien & Lecourt, Christelle, 2009. "Does transparency in central bank intervention policy bring noise to the FX market?: The case of the Bank of Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 94-111, February.
    8. Carton, Benjamin & Hervé, Karine, 2012. "Estimation of consistent multi-country FEERs," Economic Modelling, Elsevier, vol. 29(4), pages 1205-1214.
    9. Brankica Pažun & Zlatko Langović & Ana Langovic Milićević, 2016. "Equilibrium Real Exchange Rate Assessment of the Serbian Dinar: The MB approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 76-87, March.
    10. Comunale, Mariarosaria, 2014. "Long-run determinants and misalignments of the real effective exchange rate in the EU," MPRA Paper 59571, University Library of Munich, Germany, revised Sep 2014.
    11. Baak, SaangJoon, 2012. "Measuring misalignments in the Korean exchange rate," Japan and the World Economy, Elsevier, vol. 24(4), pages 227-234.
    12. Zhibai, Zhang, 2012. "A Simple Model and Its Application in the Valuation of Five Asian Real Exchange Rates," MPRA Paper 40953, University Library of Munich, Germany.

    More about this item


    Exchange rate; Models; panel;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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