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Adaptive Learning with a Unit Root: An Application to the Current Account

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Listed:
  • Ronald B. Davies

    (University of Oregon Economics Department)

  • Paul Shea

    (University of Oregon Economics Department)

Abstract

This paper develops a simple two-country, two-good model of international trade and borrowing that suppresses all previous sources of current account dynamics. Under rational expectations, international debt follows a random walk. Under adaptive learning however, international debt behaves like either a stationary or an explosive process. Whether debt converges or diverges depends on the specific learning algorithm that agents employ. When debt diverges, a financial crisis eventually occurs to ensure that the modelÂ’s transversality condition holds. Such a financial crisis causes an abrupt decrease in the debtor countryÂ’s consumption and utility.

Suggested Citation

  • Ronald B. Davies & Paul Shea, 2003. "Adaptive Learning with a Unit Root: An Application to the Current Account," University of Oregon Economics Department Working Papers 2006-15, University of Oregon Economics Department, revised 10 Jun 2003.
    • Handle: RePEc:ore:uoecwp:2006-15
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    current account; international debt movements; expectations; adaptive learning.;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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