Micro- and Macrodata of Firms

Statistical Analysis and International Comparison

  • Silvia Biffignandi

Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Enterprise Groups

  3. International Comparison

    1. Raoul Depoutot, Philippe Arondel
      Pages 125-156
    2. J. Y. Bienvenue, R. Depoutot, M. Radjabou
      Pages 157-178
    3. Luigi Badaloni, Giuseppina Galante, Francesca Gallo Baldessarri
      Pages 205-211
  4. Efficiency, Productivity, Innovation and Other Factors

    1. Eric J. Bartelsman
      Pages 241-262
    2. Mogens Dilling-Hansen, Tor Eriksson, Erik Strøjer Madsen, Valdemar Smith
      Pages 279-296
    3. Silvia Biffignandi, Sergio Bonzani, Barbara Rizzi
      Pages 349-372
    4. Guido Ferrari, Piero Ganugi, Giorgio Gozzi
      Pages 441-456
    5. S. Fabiani, G. Pellegrini, E. Romagnano, L. F. Signorini
      Pages 457-485
    6. Andrew Hildreth, Stephen Pudney
      Pages 509-540
    7. Vincent Hecquet, Danielle Roualdès
      Pages 587-597
    8. Maria Letizia Giorgetti
      Pages 623-643
    9. Anna Bottasso, Marzio Galeotti, Alessandro Sembenelli
      Pages 645-660
  5. Task Force

    1. Pierre Lavallée, Peter Struijs
      Pages 745-767
  6. Back Matter
    Pages 769-776

About these proceedings


In industrial countries there is a strong interest in the international comparison of business data regarding productivity efficiency and competitiveness. This volume presents methods for the statistical analysis of micro- and macrodata of firms and for an international comparison of the aggregates. Case studies referring to specific countries play an important role for the development of economic hypotheses that should be tested at the international level.


Business Data Datenanalyse Firmendaten Makrodaten Maxima Microdata Mikrodaten Quantitative Analysis calculus data analysis modeling organization productivity statistical analysis statistics

Editors and affiliations

  • Silvia Biffignandi
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of BergamoBergamoItaly

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 1999
  • Publisher Name Physica-Verlag HD
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-1143-8
  • Online ISBN 978-3-642-48863-4
  • Series Print ISSN 1431-1968
  • Buy this book on publisher's site