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Determinants and Dynamics of Current Account Reversals: An Empirical Analysis

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  • Roman Liesenfeld
  • Guilherme Valle Moura
  • Jean-François Richard

Abstract

We use panel probit models with unobserved heterogeneity, state dependence and serially correlated errors in order to analyse the determinants and the dynamics of current account reversals for a panel of developing and emerging countries. The likelihood-based inference of these models requires high-dimensional integration for which we use efficient importance sampling. Our results suggest that current account balance, terms of trades, foreign reserves and concessional debt are important determinants of current account reversal. Furthermore, we find strong evidence for serial dependence in the occurrence of reversals. While the likelihood criterion suggest that state dependence and serially correlated errors are essentially observationally equivalent, measures of predictive performance provide support for the hypothesis that the serial dependence is mainly due to serially correlated country-specific shocks related to local political or macroeconomic events. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2010.

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.

Volume (Year): 72 (2010)
Issue (Month): 4 (08)
Pages: 486-517

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Handle: RePEc:bla:obuest:v:72:y:2010:i:4:p:486-517

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  1. Guillermo A. Calvo & Alejandro Izquierdo & Luis-Fernando Mejia, 2004. "On the Empirics of Sudden Stops: The Relevance of Balance-Sheet Effects," NBER Working Papers 10520, National Bureau of Economic Research, Inc.
  2. Sebastian Edwards, 2004. "Thirty Years of Current Account Imbalances, Current Account Reversals, and Sudden Stops," IMF Staff Papers, Palgrave Macmillan, vol. 51(s1), pages 1-49, June.
  3. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
  4. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
  5. Richard, Jean-Francois & Zhang, Wei, 2007. "Efficient high-dimensional importance sampling," Journal of Econometrics, Elsevier, vol. 141(2), pages 1385-1411, December.
  6. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
  7. Sebastian Edwards, 2004. "Financial Openness, Sudden Stops and Current Account Reversals," NBER Working Papers 10277, National Bureau of Economic Research, Inc.
  8. Edwards, Sebastian & Rigobon, Roberto, 2002. "Currency crises and contagion: an introduction," Journal of Development Economics, Elsevier, vol. 69(2), pages 307-313, December.
  9. Elisabetta Falcetti & Merxe Tudela, 2006. "Modelling Currency Crises in Emerging Markets: A Dynamic Probit Model with Unobserved Heterogeneity and Autocorrelated Errors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 445-471, 08.
  10. Geweke, John & Keane, Michael, 2001. "Computationally intensive methods for integration in econometrics," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 56, pages 3463-3568 Elsevier.
  11. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
  12. Giancarol Corsetti & Paolo Pesenti & Nouriel Roubini & Cedric Tille, 1999. "Competitive devaluations: a welfare-based approach," Staff Reports 58, Federal Reserve Bank of New York.
  13. Keane, Michael, 1993. "Simulation estimation for panel data models with limited dependent variables," MPRA Paper 53029, University Library of Munich, Germany.
  14. Sebastian Edwards, 2004. "Thirty Years of Current Account Imbalances, Current Account Reversals and Sudden Stops," NBER Working Papers 10276, National Bureau of Economic Research, Inc.
  15. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," World Bank Research Observer, World Bank Group, vol. 15(2), pages 177-97, August.
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Cited by:
  1. Theofilakou, Nancy & Stournaras, Yannis, 2012. "Current account adjustments in OECD countries revisited: The role of the fiscal stance," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 719-734.
  2. Bijsterbosch, Martin & Dahlhaus, Tatjana, 2011. "Determinants of credit-less recoveries," Working Paper Series 1358, European Central Bank.
  3. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.

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