IDEAS home Printed from https://ideas.repec.org/a/rpo/ripoec/v98y2008i2p179-214.html
   My bibliography  Save this article

Recent Developments in Productivity and the Role of Entrepreneurship in Italy: An Industry View

Author

Listed:
  • Andrea Brasili

    () (UniCredit Group, Milan)

  • Loredana Federico

    () (UniCredit Group, Milan)

Abstract

This paper explores the existing interplay between productivity trends across Italian industries, in the decade 1995-2005, and entrepreneurship, highlighting the urgent need for a revival in entrepreneurial capital in some industries. Initially, we consider as a measure of entrepreneurship the birth rates for different industries; this proxy proved to be a significant explanatory variable of a sector’s efficiency. We then attempt to extract a measure of managerial ability directly from the data, considering it as an unobservable and using Bayesian techniques to perform the estimation, which further reinforces the previous results.

Suggested Citation

  • Andrea Brasili & Loredana Federico, 2008. "Recent Developments in Productivity and the Role of Entrepreneurship in Italy: An Industry View," Rivista di Politica Economica, SIPI Spa, vol. 98(2), pages 179-214, March-Apr.
  • Handle: RePEc:rpo:ripoec:v:98:y:2008:i:2:p:179-214
    as

    Download full text from publisher

    File URL: http://www.rivistapoliticaeconomica.it/2008/mar-apr/Brasili-Federico.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649 Elsevier.
    2. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    3. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
    4. Roeger, Werner, 1995. "Can Imperfect Competition Explain the Difference between Primal and Dual Productivity Measures? Estimates for U.S. Manufacturing," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 316-330, April.
    5. Bill Greene with Antonio Alvarez (Univ. of Oviedo) & Carlos Arias (Univ. of Leon), 2004. "Accounting For Unobservables In Production Models: Management And Inefficiency," Econometric Society 2004 Australasian Meetings 341, Econometric Society.
    6. Marcello M. Estevão, 2004. "Why is Productivity Growth in the Euro Area so Sluggish?," IMF Working Papers 04/200, International Monetary Fund.
    7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Raffaela Giordano & Sergi Lanau & Pietro Tommasino & Petia Topalova, 2015. "Does Public Sector Inefficiency Constrain Firm Productivity; Evidence from Italian Provinces," IMF Working Papers 15/168, International Monetary Fund.

    More about this item

    Keywords

    entrepreneurship; productivity growth; stochastic frontiers; Bayesian analysis; Gibbs sampling.;

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    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:rpo:ripoec:v:98:y:2008:i:2:p:179-214. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabrina Marino). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.