Unit Value Indexes for Exports – New Developments Using Administrative Trade Data

Fast Don (), Fleck Susan E. () and Dominic Smith
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Fast Don: U.S. Bureau of Labor Statistics, 2 Massachusetts Ave., NE, Rm. 3955 Washington, DC 20212, U.S.A.
Fleck Susan E.: U.S. Bureau of Labor Statistics, 2 Massachusetts Ave., NE, Rm. 3955 Washington, DC 20212, U.S.A.

Journal of Official Statistics, 2022, vol. 38, issue 1, 83-106

Abstract: U.S. import and export price indexes replaced unit value indexes forty years ago, given quality concerns of mismeasurement due to unit value bias. The administrative trade data underlying the unit values have greatly improved since that time. The transaction records are now more detailed, available electronically, and compiled monthly with little delay. The data are used by academic researchers to calculate price measures, and unit value indexes based on trade data are used by other national statistical offices (NSOs). The U.S. Bureau of Labor Statistics is now evaluating whether replacing price indexes with unit value indexes for homogeneous products calculated from administrative trade data could expand the number of published official import and export price indexes. Using export transactions, the research calculates detailed unit value indexes from 200 + million trade records from 2012–2017 for 123 export product categories. Results show that 27 of the 123 unit value indexes are homogeneous and closely comparable to published official price indexes. This article presents the concepts and methods considered to calculate and evaluate the unit value indexes and to select the product categories that are homogeneous. Compared to official price indexes, export unit value indexes for the 27 5-digit BEA (U.S. Bureau of Economic Analysis) end-use product categories would deflate real exports of these goods by 13 percentage points less over the period. Incorporating these 27 indexes into the top-level XPI would increase the value of real exports of all merchandise goods by 2.6 percentage points at the end of 2017.

Keywords: Unit values; trade; large data sets (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:38:y:2022:i:1:p:83-106:n:6

DOI: 10.2478/jos-2022-0005

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