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Large data sets, nonlinearity and the speed of adjustment to real exchange rate shocks

Listed author(s):
  • Hyeyoen Kim
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    A well known puzzle in international finance concerns the very slow speeds of adjustment of real exchange rates observed in response to shocks. In this article, we explore whether allowing for a wide range of influences on the real exchange rate in a nonlinear framework can help resolve this puzzle. Using, recently proposed econometric methods for summarizing very large macroeconomic data sets into a small number of observable factors, we find that there is a long run relationship between these factors and real exchange rates. When put into a nonlinear framework, we find that allowing for the effects of macroeconomic factors dramatically increases the measured speed of adjustment of the real exchange rate.

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    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 44 (2012)
    Issue (Month): 5 (February)
    Pages: 631-639

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    Handle: RePEc:taf:applec:44:y:2012:i:5:p:631-639
    DOI: 10.1080/00036846.2010.513676
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