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Estimation and prediction of current account deficit adjustment dynamics

Author

Listed:
  • Santiago Rossi

    (University of Buenos Aires)

  • Fernando Toledo

    (National University of La Plata)

Abstract

This article studies the adjustment dynamics of the current account deficit on an annual data set of 136 advanced and emerging economies over the period 1975-2018. Its objective is to assess whether the initial macroeconomic conditions enable us to anticipate if the current account reversal will be disruptive for economic growth. Binomial and multinomial logit models and decision trees are estimated to identify the determinants and to predict the different types of reversals. It is found that external variables, such as the terms of trade and international liquidity conditions, and variables associated with domestic policies, such as credit growth, the output gap and the real exchange rate, allow us to anticipate the type of current account reversal. In this sense, the importance of fiscal, exchange and macroprudential policies tending to moderate the fluctuations of the economic cycle and to limit excessive credit expansion, the procyclicality of capital flows and the appreciation of the real exchange rate is highlighted.

Suggested Citation

  • Santiago Rossi & Fernando Toledo, 2022. "Estimation and prediction of current account deficit adjustment dynamics," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 100-139, November.
  • Handle: RePEc:bcr:ensayo:v:1:y:2022:i:80:p:100-139
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    capital flows; current account balance; economic cycle; real exchange rate;
    All these keywords.

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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