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Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation

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  • Moura, Guilherme V.
  • Richard, Jean-François
  • Liesenfeld, Roman

Abstract

We use panel probit models with unobserved heterogeneity and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries. The likelihood evaluation of these models requires high-dimensional integration for which we use a generic procedure known as Efficient Importance Sampling (EIS). Our empirical results suggest that current account balance, terms of trades, foreign reserves and concessional debt are important determinants of the probability of current-account reversal. Furthermore we find under all specifications evidence for serially correlated error components and weak evidence for state dependence.

Suggested Citation

  • Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.
  • Handle: RePEc:zbw:cauewp:5584
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    1. Maurice Obstfeld & Kenneth Rogoff, 2007. "The Unsustainable US Current Account Position Revisited," NBER Chapters, in: G7 Current Account Imbalances: Sustainability and Adjustment, pages 339-376, National Bureau of Economic Research, Inc.
    2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    3. Maurice Obstfeld & Kenneth S. Rogoff, 1996. "Foundations of International Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262150476, December.
    4. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    5. William Greene, 2004. "Convenient estimators for the panel probit model: Further results," Empirical Economics, Springer, vol. 29(1), pages 21-47, January.
    6. Giancarlo Corsetti & Paolo Pesenti & Nouriel Roubini & Cédric Tille, 1999. "Competitive devaluations: a welfare-based approach," Staff Reports 58, Federal Reserve Bank of New York.
    7. Edwards, Sebastian & Rigobon, Roberto, 2002. "Currency crises and contagion: an introduction," Journal of Development Economics, Elsevier, vol. 69(2), pages 307-313, December.
    8. Gian Maria Milesi Ferretti & Assaf Razin, 2000. "Current Account Reversals and Currency Crises: Empirical Regularities," NBER Chapters, in: Currency Crises, pages 285-323, National Bureau of Economic Research, Inc.
    9. Sebastian Edwards, 2004. "Financial Openness, Sudden Stops, and Current-Account Reversals," American Economic Review, American Economic Association, vol. 94(2), pages 59-64, May.
    10. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    11. Luis-Fernando Mejía & Guillermo A. Calvo & Alejandro Izquierdo, 2004. "On the empirics of Sudden Stops: the relevance of balance-sheet effects," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
    12. Milesi-Ferretti, Gian Maria & Razin, Assaf, 1996. "Current Account Sustainability: Selected East Asian and Latin American Experiences," CEPR Discussion Papers 1509, C.E.P.R. Discussion Papers.
    13. RICHARD, Jean-François, 1977. "Bayesian analysis of the regression model when the disturbances are generated by an autoregressive process," LIDAM Reprints CORE 317, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    15. Milesi-Ferretti, G-M & Razin, A, 1996. "Current-Account Sustainability," Princeton Studies in International Economics 81, International Economics Section, Departement of Economics Princeton University,.
    16. 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, August.
    17. 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.
    18. Richard Baldwin & Paul Krugman, 1989. "Persistent Trade Effects of Large Exchange Rate Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(4), pages 635-654.
    19. 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.
    20. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," The World Bank Research Observer, World Bank, vol. 15(2), pages 177-197, August.
    21. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    22. Maria Milesi-Ferretti, Gian & Razin, Assaf, 1998. "Sharp reductions in current account deficits An empirical analysis," European Economic Review, Elsevier, vol. 42(3-5), pages 897-908, May.
    23. Steven Stern, 1997. "Simulation-Based Estimation," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 2006-2039, December.
    24. 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.
    25. Jean-Francois Richard, 2007. "Efficient High-Dimensional Importance Sampling," Working Paper 321, Department of Economics, University of Pittsburgh, revised Jan 2007.
    26. 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.
    27. 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.
    28. Wei Zhang & Lung-fei Lee, 2004. "Simulation estimation of dynamic discrete choice panel models with accelerated importance samplers," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 120-142, June.
    29. Avinash Dixit, 1992. "Investment and Hysteresis," Journal of Economic Perspectives, American Economic Association, vol. 6(1), pages 107-132, Winter.
    30. Richard, Jean-Francois & Zhang, Wei, 2007. "Efficient high-dimensional importance sampling," Journal of Econometrics, Elsevier, vol. 141(2), pages 1385-1411, December.
    31. Fukuda, Shin-ichi & Hoshi, Takeo & Ito, Takatoshi & Rose, Andrew, 2006. "International Finance," Journal of the Japanese and International Economies, Elsevier, vol. 20(4), pages 455-458, December.
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    Cited by:

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    3. Rodrigo Zeidan, 2014. "Voluntary corporate governance with an empirical application," Applied Financial Economics, Taylor & Francis Journals, vol. 24(12), pages 837-851, June.

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    More about this item

    Keywords

    Panel data; Dynamic discrete choice; Current account reversals; Importance Sampling; Monte Carlo integration; State dependence;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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