IDEAS home Printed from https://ideas.repec.org/p/oec/stiaaa/2017-04-en.html
   My bibliography  Save this paper

The Multiprod project: A comprehensive overview

Author

Listed:
  • Giuseppe Berlingieri
  • Patrick Blanchenay
  • Sara Calligaris
  • Chiara Criscuolo

Abstract

This paper is a technical document, designed to serve as a reference document for subsequent papers arising out of MultiProd, a project of the Committee on Industry, Innovation and Entrepreneurship and the Working Party on Industry Analysis, aimed at studying productivity patterns across countries and over time. MultiProd provides harmonised micro-aggregated data of paramount importance for investigating the extent to which different policy frameworks can shape firm productivity and examining the way resources are allocated to more productive firms.The paper discusses the project’s main contributions in relation to the current literature, in particular how using micro-aggregated data can help policy-makers understand and measure the efficiency of resource allocation in the economy, the dependence of economic activity on a small number of large firms, and wage inequality.

Suggested Citation

  • Giuseppe Berlingieri & Patrick Blanchenay & Sara Calligaris & Chiara Criscuolo, 2017. "The Multiprod project: A comprehensive overview," OECD Science, Technology and Industry Working Papers 2017/04, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2017/04-en
    DOI: 10.1787/2069b6a3-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/2069b6a3-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/2069b6a3-en?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael Peneder & Fabian Unterlass, 2024. "Die Produktivitätsentwicklung österreichischer Unternehmen in den Jahren 2013 bis 2020. Eine Auswertung von Mikrodaten," WIFO Monatsberichte (monthly reports), WIFO, vol. 97(2), pages 43-56, February.
    2. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
    3. Matej Bajgar & Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo & Jonathan Timmis, 2019. "Industry concentration in Europe and North America," CEP Discussion Papers dp1654, Centre for Economic Performance, LSE.
    4. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    5. Peneder, Michael & Rammer, Christian (ed.), 2018. "Measuring Competitiveness," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 181906.
    6. Michael Peneder & Christian Rammer, 2018. "Measuring Competitiveness," WIFO Studies, WIFO, number 60838, April.
    7. Pedro Marques & Kevin Morgan, 2021. "Innovation without Regional Development? The Complex Interplay of Innovation, Institutions, and Development," Economic Geography, Taylor & Francis Journals, vol. 97(5), pages 475-496, October.
    8. Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo, 2018. "The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 328-333, May.
    9. Michael Peneder & Catherine Prettner, 2021. "Entwicklung der Produktivität österreichischer Unternehmen von 2008 bis 2018. Auswertung von Mikrodaten für Österreich im Rahmen von Multiprod 2.0," WIFO Studies, WIFO, number 67450, April.
    10. Kevin Fox, 2018. "What Do We Know About the Productivity Slowdown? Evidence from Australian Industry Data," International Productivity Monitor, Centre for the Study of Living Standards, vol. 35, pages 149-156, Fall.
    11. Di Ubaldo, Mattia & Lawless, Martina & Siedschlag, Iulia, 2018. "Productivity spillovers from multinational activity to indigenous firms in Ireland," Papers WP587, Economic and Social Research Institute (ESRI).
    12. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.

    More about this item

    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:oec:stiaaa:2017/04-en. 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/scoecfr.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.