2008
DOI: 10.17016/ifdp.2008.917
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Measuring U.S. International Relative Prices: A WARP View of the World

Abstract: In this paper we construct a new measure of U.S. prices relative to those of its trading partners and use it to reexamine the behavior of U.S. net exports. Our measure differs from existing measures of the dollar's real effective exchange rate (REER) in that it explicitly incorporates both the difference in price levels between the United States and developing economies and the growing importance of these developing economies in world trade. Unlike existing REERs, our measure shows that relative U.S. prices ha… Show more

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Cited by 11 publications
(17 citation statements)
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“…The chief measure of the real exchange rate used in this paper is the Weighted-Average Relative Unit Labor Cost (WARULC) index, introduced by Campbell 2016ato address an index numbers problem which afflicts the RULC indexes created by the IMF (which do not include China or other developing countries), and which also affects other commonly used RER indices such as those created by the Federal Reserve. 10 We use this as trade economists have generally considered RER measures based on relative unit labor costs as being the best measures of competitiveness, while both Thomas et al (2008) and Campbell (2016a) show that the class of weighted average relative (WAR) indices outperform traditional indices in predicting trade balances, both in and out of sample. However, our results are robust to using other measures of the RER which also address the index numbers problem, such as Penn-adjusted Weighted Average Relative Prices, also provided by Campbell (2016a), or even the Federal Reserve's Broad Trade-Weighted RER Index.…”
Section: Datamentioning
confidence: 99%
“…The chief measure of the real exchange rate used in this paper is the Weighted-Average Relative Unit Labor Cost (WARULC) index, introduced by Campbell 2016ato address an index numbers problem which afflicts the RULC indexes created by the IMF (which do not include China or other developing countries), and which also affects other commonly used RER indices such as those created by the Federal Reserve. 10 We use this as trade economists have generally considered RER measures based on relative unit labor costs as being the best measures of competitiveness, while both Thomas et al (2008) and Campbell (2016a) show that the class of weighted average relative (WAR) indices outperform traditional indices in predicting trade balances, both in and out of sample. However, our results are robust to using other measures of the RER which also address the index numbers problem, such as Penn-adjusted Weighted Average Relative Prices, also provided by Campbell (2016a), or even the Federal Reserve's Broad Trade-Weighted RER Index.…”
Section: Datamentioning
confidence: 99%
“… Thomas et al (2008) argue that accounting for the rising share of trade with developing countries, and their lower relative prices, has large effects on measures of the effective exchange rate, pass‐through, and trade elasticities. …”
mentioning
confidence: 99%
“…As a consequence, by the last quarter of 2007 the "unwinding" of the WARP's 1995-2002 real appreciation was only partial, with the index still 8 percent above its level in the mid-1990s. As shown in Thomas et al (2008), the WARP index does indeed track the behavior of U.S. net exports more accurately than the REER index. Chart 4 plots the non-oil balance of goods and services and the WARP index (with a 2-year lag).…”
Section: A Is the Reer Mismeasured? The Warp Argumentmentioning
confidence: 78%
“…For both unfiltered data (panel A) and HP-filtered cyclical data (panel B) the correlation peaks at a lag of about 8 quarters. A substantial body of empirical evidence on U.S. data corroborates this stylized fact (see, for example, Marquez, 1991, Hooper, Johnson, and Marquez, 2000and Thomas, Marquez, and Fahle, 2008. 13 As of end-September 2008, the average real effective exchange rate for the dollar during 2008 was over 10 percent more depreciated than during 2006.…”
Section: Adjustment Lagsmentioning
confidence: 88%
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