Lost in Transit: Product Replacement Bias and Pricing to Market

60 Pages Posted: 21 Sep 2009 Last revised: 21 Jun 2026

See all articles by Emi Nakamura

Emi Nakamura

Columbia University - Columbia Business School, Finance; National Bureau of Economic Research (NBER)

Jon Steinsson

Columbia University - Graduate School of Arts and Sciences - Department of Economics; National Bureau of Economic Research (NBER)

Date Written: September 2009

Abstract

The microdata underlying U.S. import and export price indexes exhibit frequent product turnover and highly rigid prices. As a consequence, 40% of products are replaced before a single price change is observed and 70% are replaced after two price changes or less. An aggregate price index that focuses on price changes for identical items over time may, therefore, miss an important component of price adjustment occurring at the time of product replacements. We provide a model of this "product replacement bias" and quantify its importance using U.S. microdata on import and export prices. We show that, accounting for product replacement bias, long-run exchange rate "pass-through" into U.S. import and export price indexes is almost twice as high as conventional estimates suggest, and changes in the terms of trade are roughly 75% more volatile. Our adjustment makes pass-through statistics easier to account for with existing general equilibrium models.

Suggested Citation

Nakamura, Emi and Steinsson, Jon, Lost in Transit: Product Replacement Bias and Pricing to Market (September 2009). NBER Working Paper No. w15359, Available at SSRN: https://ssrn.com/abstract=1475551

Emi Nakamura (Contact Author)

Columbia University - Columbia Business School, Finance ( email )

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New York, NY 10027
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National Bureau of Economic Research (NBER)

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Jon Steinsson

Columbia University - Graduate School of Arts and Sciences - Department of Economics ( email )

420 W. 118th Street
New York, NY 10027
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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