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The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies: A Preliminary Analysis

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  • Christian Reimsbach-Kounatze

    (OECD)

Abstract

This working paper describes the potential of the proliferation of new sources of large volumes of data, sometimes also referred to as “big data”, for informing policy making in several areas. It also outlines the challenges that the proliferation of data raises for the production of official statistics and for statistical policies.

Suggested Citation

  • Christian Reimsbach-Kounatze, 2015. "The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies: A Preliminary Analysis," OECD Digital Economy Papers 245, OECD Publishing.
    • Handle: RePEc:oec:stiaab:245-en
    DOI: 10.1787/5js7t9wqzvg8-en
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    Cited by:

    1. Braaksma, Barteld & Zeelenberg, Kees, 2015. "“Re-make/Re-model”: Should big data change the modelling paradigm in official statistics?," MPRA Paper 87741, University Library of Munich, Germany.
    2. Letizia Mencarini & Delia Irazú Hernández Farías & Mirko Lai & Viviana Patti & Emilio Sulis & Daniele Vignoli, 2019. "Happy parents’ tweets: An exploration of Italian Twitter data using sentiment analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(25), pages 693-724.
    3. Letizia Mencarini & Delia Irazú Hernández-Farías & Mirko Lai & Viviana Patti & Emilio Sulis & Daniele Vignoli, 2018. "Italian happy parents In Twitter," Working Papers 117, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    4. Julien Mercille, 2021. "Inclusive Smart Cities: Beyond Voluntary Corporate Data Sharing," Sustainability, MDPI, vol. 13(15), pages 1-13, July.

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