A concordance between ten-digit U.S. harmonized system codes and SIC/NAICS product classes and industries

By Justin R. Pierce, Peter K. Schott. 2011

325 citations recorded by the source corpus.

While the relationship between international trade and domestic economic activity is an important topic in economics, research in this area has been slowed due to data limitations. In this paper we provide tools that improve the existing data in two ways. First, we develop an algorithm that yields concordances between the ten-digit Harmonized System (HS) codes used to classify products in U.S. international trade and the SIC and NAICS industry codes used to classify domestic economic activity. These concordances then yield novel time series of industry-level international trade data for the years 1989 to 2009. Second, we provide concordances between HS codes and the SIC and NAICS product classes used to classify U.S. manufacturing production, allowing for matching at a more disaggregated level than was previously available.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/e58e4433f4d5078e164916684dc2c66eaf395a1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Strategy and Management

Citations in the corpus

Declining Competition and Investment in the U.S. (2017, unknown): “We map these data to six-digit NAICS codes by applying the crosswalk in Pierce and Schott (2012), which assigns 10-digit HS products to seven-digit NAICS industries.”
Intermediaries in International Trade: direct versus indirect modes of export (2010, unknown): “Finally, we exploit the concordance between Harmonize System Codes and NAICS Industries developed by Pierce and Schott (2009) to obtain the information on contract intensity at the level of HS6 product.”
From Good to Bad Concentration? US Industries over the Past 30 Years (2019, methodology): “Notes: Annual data from Compustat, Peters and Taylor 2016, Schott (2008) and Pierce and Schott (2016). Manufacturing industries only, split into high (above-median) and low (below-median) exposure based on the 1999 NTR gap.”
Policy Uncertainty, Trade and Welfare: Theory and Evidence for China and the U.S (2013, unknown): “Bloom et al. (2011) assess the reduced form impact of Chinese exports on wages and employment in the European Union while Pierce and Schott (2012) focus on the U.S. 7 Our paper differs in at least two important ways; first our focus is on the trade and consumer welfare effects, second our…”
International competition and industrial evolution: Evidence from the impact of Chinese competition on Mexican maquiladoras (2013, methodology): “The dependent variable exhibits overdispersion so we opted for the negative binomial model.(41) The results are presented in Table 7.”
The Margins of Global Sourcing: Theory and Evidence from U.S. Firms (2017, unknown): “We construct the China shocks using bilateral trade data from the UN Comtrade database, which we map from six-digit HS codes to six-digit NAICS industries using the concordance from Pierce and Schott (2012).”
Foreign Competition and Domestic Innovation: Evidence from US Patents (2020, unknown): “(13)On supervised approaches to matching patents to diambiguating patent assignees, see also Ventura et al. (2015), Morrison et al.”
Organizing the Global Value Chain (2012, unknown): “This was merged with a comprehensive list of HS10 codes from Pierce and Schott (2009).”