IMF Working Papers

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Format: Chicago

Steven T Phillips, Luis Catão, Luca A Ricci, Rudolfs Bems, Mitali Das, Julian Di Giovanni, Filiz D Unsal, Marola Castillo, Jungjin Lee, Jair Rodriguez, and Mauricio Vargas. The External Balance Assessment (EBA) Methodology, (USA: International Monetary Fund, 2013) accessed November 6, 2024
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

The External Balance Assessment (EBA) methodology has been developed by the IMF’s Research Department as a successor to the CGER methodology for assessing current accounts and exchange rates in a multilaterally consistent manner. Compared to other approaches, EBA emphasizes distinguishing between the positive empirical analysis and the normative assessment of current accounts and exchange rates, and highlights the roles of policies and policy distortions. This paper provides a comprehensive description and discussion of the 2013 version (“2.0”) of the EBA methodology, including areas for its further development.

Subject: Balance of payments, Capital controls, Current account, External balance assessment (EBA), External position, Foreign exchange, Real effective exchange rates, Real exchange rates

Keywords: Africa, Benchmark CA regression specification, CA assessment, CA balance, CA regression, CA value, Capital controls, Current account, EBA regression, EBA regression model, EBA regression specification, ES CA gap, Exchange rates, External balance assessment (EBA), Fiscal policy, GDP ratio, Global, Global imbalances, Monetary policy, Net foreign assets, Output gap, Real effective exchange rates, Real exchange rates, REER regression, Sample period, Trade balance, WP

Publication Details

  • Pages:

    68

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2013/272

  • Stock No:

    WPIEA2013272

  • ISBN:

    9781484346686

  • ISSN:

    1018-5941