IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_693_22.html
   My bibliography  Save this paper

Statistics for economic analysis: the experience of the Bank of Italy

Author

Listed:
  • Giovanni D'Alessio

    (Bank of Italy)

  • Riccardo De Bonis

    (Bank of Italy)

  • Matteo Piazza

    (Bank of Italy)

  • Luigi Infante

    (Bank of Italy)

  • Giorgio Nuzzo

    (Bank of Italy)

  • Silvia Sabatini

    (Bank of Italy)

  • Francesca Zanichelli

    (Bank of Italy)

  • Romina Gambacorta

    (Bank of Italy)

  • Guido de Blasio

    (Bank of Italy)

  • Stefano Federico

    (Bank of Italy)

  • Juri Marcucci

    (Bank of Italy)

  • Laura Bartiloro

    (Bank of Italy)

  • Elena San Martini

    (Bank of Italy)

Abstract

The paper provides an overview of the main statistics produced by the Bank of Italy: financial accounts, monetary statistics, balance of payments, household and business surveys. The volume discusses the problems related to the measurement of economic phenomena, how statistics can be used for policy evaluation, the challenges for official statistics posed by globalization, the digital economy and big data. Finally, we show the policy adopted by the Bank of Italy for the dissemination of statistics and the role of the Research Data Center.

Suggested Citation

  • Giovanni D'Alessio & Riccardo De Bonis & Matteo Piazza & Luigi Infante & Giorgio Nuzzo & Silvia Sabatini & Francesca Zanichelli & Romina Gambacorta & Guido de Blasio & Stefano Federico & Juri Marcucci, 2022. "Statistics for economic analysis: the experience of the Bank of Italy," Questioni di Economia e Finanza (Occasional Papers) 693, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_693_22
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2022-0693/QEF_693_22.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    central bank statistics; financial accounts; monetary and banking statistics; balance of payment; household surveys; business surveys; financial literacy; policy evaluation; official statistics; globalization; digital economy; big data; dissemination;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    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_693_22. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.