IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_823_23.html
   My bibliography  Save this paper

It's a match! Linking foreign counterparts in Italian customs data to their balance sheets

Author

Listed:
  • Crispino Marta

    (Bank of Italy)

  • Francesco Paolo Conteduca

    (Bank of Italy)

Abstract

This paper describes the methodology underlying the matching between non-EU counterparts in the Italian Customs and Monopolies Agency data and firms in the Bureau van Dijk Orbis database. Through different validation exercises, we show that the matches stemming from our proposed procedure are largely correct regarding both records and transaction values. The resulting corresponding tables can serve as a useful tool to shed light on the features of the counterparts of Italian firms active in international trade.

Suggested Citation

  • Crispino Marta & Francesco Paolo Conteduca, 2023. "It's a match! Linking foreign counterparts in Italian customs data to their balance sheets," Questioni di Economia e Finanza (Occasional Papers) 823, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:opques:qef_823_23
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2023-0823/QEF_823_23.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodrigo Adão & Paul Carrillo & Arnaud Costinot & Dave Donaldson & Dina Pomeranz, 2022. "Imports, Exports, and Earnings Inequality: Measures of Exposure and Estimates of Incidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1553-1614.
    2. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    3. Alonso Alfaro-Ureña & Isabela Manelici & Jose P Vasquez, 2022. "The Effects of Joining Multinational Supply Chains: New Evidence from Firm-to-Firm Linkages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1495-1552.
    4. Gregory J. Cohen & Jacob Dice & Melanie Friedrichs & Kamran Gupta & William Hayes & Isabel Kitschelt & Seung Jung Lee & W. Blake Marsh & Nathan Mislang & Maya Shaton & Martin Sicilian & Chris Webster, 2021. "The U.S. syndicated loan market: Matching data," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 695-723, December.
    5. Emmanuel Dhyne & Ayumu Ken Kikkawa & Magne Mogstad & Felix Tintelnot, 2021. "Trade and Domestic Production Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 643-668.
    6. Andrew B. Bernard & Andreas Moxnes & Yukiko U. Saito, 2019. "Production Networks, Geography, and Firm Performance," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 639-688.
    7. Alter, Adrian & Elekdag, Selim, 2020. "Emerging market corporate leverage and global financial conditions," Journal of Corporate Finance, Elsevier, vol. 62(C).
    8. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gadenne, Lucie & Nandi, Tushar K. & Rathelot, Roland, 2019. "Taxation and Supplier Networks : Evidence from India," The Warwick Economics Research Paper Series (TWERPS) 1208, University of Warwick, Department of Economics.
    2. Lafond, François & Astudillo-Estévez, Pablo & Bacilieri, Andrea & Borsos, András, 2023. "Firm-level production networks: what do we (really) know?," INET Oxford Working Papers 2023-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    4. Hayato Kato & Toshihiro Okubo, 2022. "The Resilience of FDI to Natural Disasters Through Industrial Linkages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 177-225, May.
    5. Demir, Banu & Cosar, Kerem & Ghose, Devaki & Young, Nathaniel, 2021. "Road Capacity, Domestic Trade and Regional Outcomes," CEPR Discussion Papers 16512, C.E.P.R. Discussion Papers.
    6. Yuzuka Kashiwagi & Yasuyuki Todo & Petr Matous, 2021. "Propagation of economic shocks through global supply chains—Evidence from Hurricane Sandy," Review of International Economics, Wiley Blackwell, vol. 29(5), pages 1186-1220, November.
    7. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    8. Philipp Herkenhoff & Sebastian Krautheim & Philip Sauré, 2021. "A Simple Model of Buyer-Seller Networks in International Trade," CESifo Working Paper Series 9124, CESifo.
    9. Masahiro Endoh, 2020. "The Impact of Firms' International Trade on Domestic Suppliers," Keio-IES Discussion Paper Series 2020-016, Institute for Economics Studies, Keio University.
    10. Zhiyuan Chen & Aksel Erbahar & Yuan Zi, 2019. "Made and Created in China: Super Processors and Two-way Heterogeneity," Tinbergen Institute Discussion Papers 19-080/VI, Tinbergen Institute.
    11. Mungo, Luca & Lafond, François & Astudillo-Estévez, Pablo & Farmer, J. Doyne, 2023. "Reconstructing production networks using machine learning," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    12. Zi, Yuan & Chen, Zhiyuan & Erbahar, Aksel, 2020. "Made and Created in China: The Role of Processing Trade," CEPR Discussion Papers 14486, C.E.P.R. Discussion Papers.
    13. Robert C. Johnson, 2018. "Measuring Global Value Chains," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 207-236, August.
    14. Emmanuel Dhyne & Ayumu Ken Kikkawa & Magne Mogstad & Felix Tintelnot, 2021. "Trade and Domestic Production Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 643-668.
    15. Endoh, Masahiro, 2022. "The impact of firms’ international trade on domestic suppliers: The case of Japan," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    16. Akgündüz, Yusuf Emre & Aydemir, Abdurrahman B. & Cilasun, Seyit Mümin & Kirdar, Murat Güray, 2024. "Propagation of Immigration Shocks through Firm-to-Firm Trade Networks," IZA Discussion Papers 16770, Institute of Labor Economics (IZA).
    17. LI Zhigang & WEI Shang-Jin & ZHANG Hongyong, 2018. "Production Chains, Exchange Rate Shocks, and Firm Performance," Discussion papers 18058, Research Institute of Economy, Trade and Industry (RIETI).
    18. Muhammad Nadeem Sarwar, 2023. "An Evaluation of Different Tax Reform Proposals in Pakistan using CGE Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 309-330.
    19. Sabien Dobbelaere & Catherine Fuss & Mark Vancauteren, 2023. "Does offshoring shape labor market imperfections? A comparative analysis of Belgian and Dutch firms," Tinbergen Institute Discussion Papers 23-006/V, Tinbergen Institute.
    20. Mary Amiti & Cédric Duprez & Jozef Konings & John Van Reenen, 2023. "FDI and Superstar Spillovers: Evidence from Firm-to-Firm Transactions," NBER Working Papers 31128, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    record linkage; big data integration; customs data; balance sheet data; name harmonization; blocking; entity matching;
    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
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_823_23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.