Accounting for Real Exchange Rates Using Micro-Data
Mario Crucini () and
Anthony Landry ()
Staff Working Papers from Bank of Canada
Abstract:
The classical dichotomy predicts that all of the time-series variance in the aggregate real exchange rate is accounted for by non-traded goods in the consumer price index (CPI) basket because traded goods obey the Law of One Price. In stark contrast, Engel (1999) claimed the opposite: that traded goods accounted for all of the variance. Using micro-data and recognizing that final good prices include both the cost of the goods themselves and local, non-traded inputs into retail such as labor and retail space, our work re-establishes the conceptual value of the classical dichotomy. We also carefully show the role of aggregation, consumption expenditure weighting and assignment of covariance terms in the differences between our findings and those of Engel.
Keywords: Exchange rates; International financial markets; Trade Integration (search for similar items in EconPapers)
JEL-codes: F3 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2017
New Economics Papers: this item is included in nep-opm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.bankofcanada.ca/wp-content/uploads/2017/04/swp2017-12.pdf
Related works:
Journal Article: Accounting for real exchange rates using micro-data (2019) 
Working Paper: Accounting for real exchange rates using micro-data (2012) 
Working Paper: Accounting for Real Exchange Rates Using Micro-data (2012) 
Working Paper: Accounting for Real Exchange Rates using Micro-Data (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bca:bocawp:17-12
Access Statistics for this paper
More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().