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Working Paper

Real effective exchange rates for 178 countries: a new database

Using data on exchange rates and consumer price indices and a weighting matrix, we calculate up-to-date consumer price index-based REER (the real effective exchange rate) for 178 countries – many more than in any other publicly available database – plus for the euro area. The database will be irregularly updated.

By: Date: March 15, 2012 Topic: Global economy and trade

Click here for the most recently updated database

The real effective exchange rate (REER), which measures the development of the real value of a country’s currency against the basket of the trading partners of the country, is a frequently used variable in both theoretical and applied economic research and policy analysis. It is used for a wide variety of purposes, such as assessing the equilibrium value of a currency, the change in price or cost competitiveness, the drivers of trade flows, or incentives for reallocation production between the tradable and the non-tradable sectors.

Due to the importance of the REER in economic research and policy analysis, several institutions, such as the World Bank, the Eurostat, the BIS, the OECD, just to name a few, publish various REER indicators which are freely downloadable. Altogether, these institutions publish data for 113 countries. The countries for which data are available include all advanced and several emerging and developing countries. However, different databases may have different methodologies and even the 109 countries included in the World Bank database miss several dozen countries of the world.

Our database has three novelties:

  1. Using a consistent methodology, we calculate CPI-based REER for 178 countries (plus the euro area) for annual data and for 153 countries (plus the euro area) for monthly data.
  2. We calculate the REER for all countries up to date, eg in the current vintage of the database we calculate up to January 2012.
  3. It is relatively easy to calculate REER against any arbitrary group of countries – what is needed for this is a re-scaling of the weighting matrix.

The database will be irregularly updated.

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Since the ECB’s announcement of its QE programme in January 2015, national central banks have been buying government and national agency bonds. In this post we look at the effect of QE on sectoral holdings of government bonds, updating our calculations published in May and November 2016.

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An update: Sovereign bond holdings in the euro area – the impact of QE

Since the ECB’s announcement of its QE programme in January 2015, national central banks have been buying government and national agency bonds. In this post we look at the effect of QE on sectoral holdings of government bonds, based on our recently updated dataset.

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Sovereign bond holdings in the euro area - the impact of QE

Since the announcement of the QE programme by the European Central Bank (ECB) on 22 January 2015, national central banks have been buying government and national agency bonds. In this post we look at the effect of QE on sectoral holdings of government bonds, based on our recently updated dataset.

By: Pia Hüttl, Silvia Merler and Bruegel Topic: Macroeconomic policy Date: May 19, 2016
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This paper introduces a new international financial regulatory data transparency index - the Financial Regulatory Transparency (FRT) Index - in order to address the exisiting gap in measuring regulatory transparency.

By: Mark Copelovitch, Christopher Gandrud, Mark Hallerberg and Bruegel Topic: Banking and capital markets Date: December 10, 2015
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By: Zsolt Darvas Topic: Macroeconomic policy Date: June 17, 2015
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By: Zsolt Darvas Topic: Macroeconomic policy Date: January 19, 2015
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Working Paper

The EU-EFIGE/Bruegel-Unicredit dataset

This paper describes the EU-EFIGE/Bruegel-UniCredit dataset (in short the EFIGE dataset), a database recently collected within the EFIGE project (European Firms in a Global Economy: internal policies for external competitiveness) supported by the Directorate General Research of the European Commission through its 7th Framework Programme and coordinated by Bruegel. • The database, for the first […]

By: Carlo Altomonte and Tommaso Aquilante Topic: Digital economy and innovation, Green economy Date: October 4, 2012
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