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

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  • Christoph Baumgartner
  • Stjepan Srhoj
  • Janette F. Walde

Abstract

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.

Suggested Citation

  • Christoph Baumgartner & Stjepan Srhoj & Janette F. Walde, 2022. "Harmonization of product classifications: A consistent time series of economic trade activities," Working Papers 2022-11, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2022-11
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    References listed on IDEAS

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    1. Castellani, Davide & Fassio, Claudio, 2019. "From new imported inputs to new exported products. Firm-level evidence from Sweden," Research Policy, Elsevier, vol. 48(1), pages 322-338.
    2. Joachim Wagner, 2016. "A survey of empirical studies using transaction level data on exports and imports," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 215-225, February.
    3. Johannes Van Biesebroeck & Jozef Konings & Christian Volpe Martincus, 2016. "Did export promotion help firms weather the crisis?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(88), pages 653-702.
    4. Gault, Fred, 2018. "Defining and measuring innovation in all sectors of the economy," Research Policy, Elsevier, vol. 47(3), pages 617-622.
    5. Mairesse, Jacques & Mohnen, Pierre, 2010. "Using Innovation Surveys for Econometric Analysis," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1129-1155, Elsevier.
    6. Srhoj, Stjepan & Vitezic, Vanja & Wagner, Joachim, 2020. "Export boosting policies and firm behaviour: Review of empirical evidence around the world," MPRA Paper 104330, University Library of Munich, Germany.
    7. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    8. Hauser, Christoph & Siller, Matthias & Schatzer, Thomas & Walde, Janette & Tappeiner, Gottfried, 2018. "Measuring regional innovation: A critical inspection of the ability of single indicators to shape technological change," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 43-55.
    9. Jacques Mairesse & Pierre Mohnen, 2002. "Accounting for Innovation and Measuring Innovativeness: An Illustrative Framework and an Application," American Economic Review, American Economic Association, vol. 92(2), pages 226-230, May.
    10. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 483-498, Winter.
    11. Stojčić, Nebojša & Srhoj, Stjepan & Coad, Alex, 2020. "Innovation procurement as capability-building: Evaluating innovation policies in eight Central and Eastern European countries," European Economic Review, Elsevier, vol. 121(C).
    12. Link Sebastian, 2020. "Harmonization of the ifo Business Survey’s Micro Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(4), pages 543-555, August.
    13. Nicole Bellert & Dario Fauceglia, 2019. "A practical routine to harmonize product classifications over time," International Economics, CEPII research center, issue 160, pages 84-89.
    14. Justin R. Pierce & Peter K. Schott, 2009. "A Concordance Between Ten-Digit U.S. Harmonized System Codes and SIC/NAICS Product Classes and Industries," NBER Working Papers 15548, National Bureau of Economic Research, Inc.
    15. Coad, Alex & Segarra, Agustí & Teruel, Mercedes, 2016. "Innovation and firm growth: Does firm age play a role?," Research Policy, Elsevier, vol. 45(2), pages 387-400.
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    More about this item

    Keywords

    concordance; CN; HS; Prodcom; BEC;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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