Understanding international price differences using barcode data

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Understanding international price differences ...
Christian M. Broda
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Last edited by MARC Bot
December 22, 2020 | History

Understanding international price differences using barcode data

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"The empirical literature in international finance has produced three key results about international price deviations: borders give rise to flagrant violations of the law of one price, distance matters enormously for understanding these deviations, and most papers find that convergence rates back to purchasing power parity are inconsistent with the evidence of micro studies on nominal price stickiness. The data underlying these results are mostly comprised of price indexes and price surveys of goods that may not be identical internationally. In this paper, we revisit these three stylized facts using massive amounts of US and Canadian data that share a common barcode classification. We find that none of these three main stylized facts survive. We use our barcode level data to replicate prior work and explain what assumptions caused researchers to find different results from those we find in this paper. Overall, our work is supportive of simple pricing models where the degree of market segmentation across the border is similar to that within borders"--National Bureau of Economic Research web site.

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Language
English

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Cover of: Understanding international price differences using barcode data
Understanding international price differences using barcode data
2008, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Title from PDF file as viewed on 7/10/2008.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 14017, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 14017.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL19065263M
LCCN
2008610855

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December 22, 2020 Edited by MARC Bot import existing book
December 10, 2009 Created by WorkBot add works page