Arbeitspapier

Harmonization of product classifications: A consistent time series of economic trade activities

Firm-product data provide information for various research questions in international trade or innovation economics. However, working with this data requires harmonizing product classifications consistently over time to avoid internal validity issues. The researcher must consider product code changes in the classification systems over the observation period. Harmonization is required because classification systems like the EU classifications Combined Nomenclature (CN) for goods or the Prodcom for the production of manufactured goods undergo several changes. We have addressed this problem and developed an approach to harmonize product codes. This approach tracks product codes from 1995 to 2022 for CN and 2001 to 2021 for Prodcom. Additional years can be conveniently updated. We provide the harmonized product codes for CN and Prodcom in the selected period's first (or last) year. Our approach is summarized in an easy-to-use R package so that researchers can consistently track product codes for their period. We demonstrate the importance of harmonization using the micro-level trade data for Croatia as a case study. Our approach facilitates working with firm-product data, allowing the analysis of important research questions.

Sprache
Englisch

Erschienen in
Series: Working Papers in Economics and Statistics ; No. 2022-11

Klassifikation
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Empirical Studies of Trade
Microeconomic Analyses of Economic Development
Large Data Sets: Modeling and Analysis
Thema
concordance
Prodcom
BEC

Ereignis
Geistige Schöpfung
(wer)
Baumgartner, Christoph
Srhoj, Stjepan
Walde, Janette
Ereignis
Veröffentlichung
(wer)
University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
(wo)
Innsbruck
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Baumgartner, Christoph
  • Srhoj, Stjepan
  • Walde, Janette
  • University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)

Entstanden

  • 2022

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