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Building a firm level dataset for the analysis of industrial dynamics and demography

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Listed:
  • M. Grazzi
  • C. Piccardo
  • C. Vergari

Abstract

This paper illustrates the building procedure of a firm-level panel dataset that merges several sources of information concerning the various activities of business firms. The aim of this work is to achieve a detailed dataset able to shed light on firm demographics, in terms of survival, entry and exit processes, distinguishing between “voluntary" and “involuntary" exits. Moreover, the derived dataset allows to monitor the innovation activities of the firms and also to capture complementarities between two instruments of intellectual property rights (IPRs), namely granted patents and registered trademarks. We assess the validity of the proposed procedures resorting to the virtual universe of Italian limited liability companies as provided by Bureau van Dijk (BvD). The dataset covers more than 1 million companies operating in both manufacturing and service sectors and contain financial and economic information, as well as, among the others, the ownership structure and administrative procedures undergone by the firms, which may lead to firm exit. The main purpose of the paper is to provide a unified set of procedures to help the researcher dealing with the vast amount of information available on corporate firms and of ever increasing size. This will also facilitate the replication of empirical analyses, across researchers working on dataset with similar characteristics, although from different countries or data providers.

Suggested Citation

  • M. Grazzi & C. Piccardo & C. Vergari, 2017. "Building a firm level dataset for the analysis of industrial dynamics and demography," Working Papers wp2003, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:wp2003
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    File URL: http://amsacta.unibo.it/5569/1/WP2003.pdf
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    References listed on IDEAS

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    1. Giulio Bottazzi & Marco Grazzi & Angelo Secchi & Federico Tamagni, 2011. "Financial and economic determinants of firm default," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 373-406, August.
    2. Giovanni Dosi & Marco Grazzi & Luigi Marengo & Simona Settepanella, 2016. "Production Theory: Accounting for Firm Heterogeneity and Technical Change," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 875-907, December.
    3. Joachim Wagner, 2013. "Exports, imports and firm survival: first evidence for manufacturing enterprises in Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(1), pages 113-130, March.
    4. Grazzi, Marco & Sanzo, Roberto & Secchi, Angelo & Zeli, Alessandro, 2013. "The building process of a new integrated system of business micro-data 1989–2004," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 291-324.
    5. Kalemli-Ozcan, Sebnem & Sorensen, Bent E. & Villegas-Sanchez, Carolina & Volosovych, Vadym & Yesiltas, Sevcan, 2015. "How to construct nationally representative firm level data from the ORBIS global database," CEPR Discussion Papers 10829, C.E.P.R. Discussion Papers.
    6. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    7. repec:hal:journl:hal-00642699 is not listed on IDEAS
    8. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    9. Baldwin, John R. & Rafiquzzaman, Mohammed, 1995. "Selection versus evolutionary adaptation: Learning and post-entry performance," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 501-522, December.
    10. Amorim Varum, Celeste & Rocha, Vera Catarina, 2012. "The effect of crises on firm exit and the moderating effect of firm size," Economics Letters, Elsevier, vol. 114(1), pages 94-97.
    11. Davis, Steven J & Haltiwanger, John & Schuh, Scott, 1996. "Small Business and Job Creation: Dissecting the Myth and Reassessing the Facts," Small Business Economics, Springer, vol. 8(4), pages 297-315, August.
    12. Richard Disney & Jonathan Haskel & Ylva Heden, 2003. "Entry, Exit and Establishment Survival in UK Manufacturing," Journal of Industrial Economics, Wiley Blackwell, vol. 51(1), pages 91-112, March.
    13. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    14. Cefis, Elena & Marsili, Orietta, 2006. "Survivor: The role of innovation in firms' survival," Research Policy, Elsevier, vol. 35(5), pages 626-641, June.
    15. Travis J. Lybbert & Nikolas J. Zolas & Prantik Bhattacharyya, 2014. "An "Algorithmic Links with Probabilities" Concordance for Trademarks For Disaggregated Analysis of Trademark and Economic Data," WIPO Economic Research Working Papers 14, World Intellectual Property Organization - Economics and Statistics Division.
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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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