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Why You Should Use High-Frequency Data to Test the Impact of Exchange Rate on Trade

In: Advances in Panel Data Analysis in Applied Economic Research

Author

Listed:
  • Karam Shaar

    (School of Economics and Finance, Victoria University of Wellington)

  • Mohammed Khaled

    (School of Economics and Finance, Victoria University of Wellington)

Abstract

This study suggests that testing the impact of exchange rate on trade should be done using high-frequency data. Using different data frequencies for identical periods and specifications between the USA and Canada, we show that low-frequency data might suppress and distort the evidence of the impact of exchange rate on trade in the short run and the long run.

Suggested Citation

  • Karam Shaar & Mohammed Khaled, 2018. "Why You Should Use High-Frequency Data to Test the Impact of Exchange Rate on Trade," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Panel Data Analysis in Applied Economic Research, chapter 0, pages 283-288, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-70055-7_21
    DOI: 10.1007/978-3-319-70055-7_21
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