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

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  • Hyeyoen Kim

Abstract

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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  • Hyeyoen Kim, 2012. "Large data sets, nonlinearity and the speed of adjustment to real exchange rate shocks," Applied Economics, Taylor & Francis Journals, vol. 44(5), pages 631-639, February.
    • Handle: RePEc:taf:applec:44:y:2012:i:5:p:631-639
    DOI: 10.1080/00036846.2010.513676
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