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Optimal Capital Flow Taxes in Latin America

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  • João Barata Ribeiro Blanco Barroso

Abstract

This paper estimates optimal capital flow taxes for Latin American economies based on early warning models for sudden stops. The paper adopts the externality view advanced by Korinek (2010), according to which domestic agents do not internalize the costs of high debt in bad states of nature. Capital flow taxes realign private and social incentives, therefore avoiding credit constraints problems in the future. The early warning estimates of crisis likelihood, severity and amplification dynamics provide new stylized evidence on the externality view. The most relevant and statistically significant conditioning states were found to be international risk aversion, net foreign asset position, international reserves and overvaluation indicators. An interesting rule of thumb that emerged from the empirical estimates is that capital flow taxes should be proportional to the square of the likelihood of an external crisis.

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File URL: http://www.bcb.gov.br/pec/wps/ingl/wps268.pdf
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Bibliographic Info

Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 268.

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Date of creation: Mar 2012
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Handle: RePEc:bcb:wpaper:268

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Web page: http://www.bcb.gov.br/?english

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  1. Enrique G. Mendoza & Katherine A. Smith, 2004. "Quantitative Implication of A Debt-Deflation Theory of Sudden Stops and Asset Prices," NBER Working Papers 10940, National Bureau of Economic Research, Inc.
  2. Nicolas E. Magud E. & Carmen M. & Kenneth S. Rogoff, 2011. "Capital Controls: Myth and Reality--A Portfolio Balance Approach," Working Paper Series WP11-7, Peterson Institute for International Economics.
  3. Philip R. Lane & Gian-Maria Milesi-Ferretti, 2006. "The External Wealth of Nations Mark II: Revised and Extended Estimates of Foreign Assets and Liabilities, 1970-2004," IMF Working Papers 06/69, International Monetary Fund.
  4. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
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