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Imputation techniques for the nationality of foreign shareholders in Italian firms

In: External sector statistics: current issues and new challenges

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  • Andrea Carboni
  • Alessandro Moro

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Suggested Citation

  • Andrea Carboni & Alessandro Moro, 2018. "Imputation techniques for the nationality of foreign shareholders in Italian firms," IFC Bulletins chapters, in: Bank for International Settlements (ed.), External sector statistics: current issues and new challenges, volume 48, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:48-16
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    File URL: http://www.bis.org/ifc/publ/ifcb48o.pdf
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    References listed on IDEAS

    as
    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
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    Cited by:

    1. Marta Bernardini & Paolo Massaro & Francesca Pepe & Francesco Tocco, 2021. "The market notices published by the Italian Stock Exchange: a machine learning approach for the selection of the relevant ones," Questioni di Economia e Finanza (Occasional Papers) 632, Bank of Italy, Economic Research and International Relations Area.
    2. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2021. "Learning from revisions: a tool for detecting potential errors in banks' balance sheet statistical reporting," Questioni di Economia e Finanza (Occasional Papers) 611, Bank of Italy, Economic Research and International Relations Area.
    3. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.

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