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Why you should use high frequency data to test the impact of exchange rate on trade

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dc.contributor.author Shaar, Karam
dc.contributor.author Khaled, Mohammed
dc.date.accessioned 2017-03-08T23:10:33Z
dc.date.accessioned 2022-07-11T21:21:30Z
dc.date.available 2017-03-08T23:10:33Z
dc.date.available 2022-07-11T21:21:30Z
dc.date.copyright 2017
dc.date.issued 2017
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/20137
dc.description.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 US 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. en_NZ
dc.format pdf en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.relation.ispartofseries SEF Working paper ; 02/2017 en_NZ
dc.subject Data frequency en_NZ
dc.subject Exchange rate and trade en_NZ
dc.subject J-Curve Theory en_NZ
dc.subject ARDL Cointegration en_NZ
dc.subject US-Canada trade en_NZ
dc.title Why you should use high frequency data to test the impact of exchange rate on trade en_NZ
dc.type Text en_NZ
vuwschema.contributor.unit School of Economics and Finance en_NZ
vuwschema.subject.anzsrcfor 140210 International Economics and International Finance en_NZ
vuwschema.type.vuw Working or Occasional Paper en_NZ
vuwschema.subject.anzsrcforV2 350207 International finance en_NZ
vuwschema.subject.anzsrcforV2 380110 International economics en_NZ
dc.rights.rightsholder http://www.victoria.ac.nz/sef/research/sef-working-papers en_NZ


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