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

Author

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  • 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
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    File URL: http://www.rivistapoliticaeconomica.it/2008/mar-apr/Brasili-Federico.pdf
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    References listed on IDEAS

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    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. Mr. Marcello M. Estevão, 2004. "Why is Productivity Growth in the Euro Area so Sluggish?," IMF Working Papers 2004/200, 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.
    8. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633.
    9. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
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    Cited by:

    1. Mr. Sergi Lanau & Petia Topalova, 2016. "The Impact of Product Market Reforms on Firm Productivity in Italy," IMF Working Papers 2016/119, International Monetary Fund.
    2. Raffaela Giordano & Sergi Lanau & Pietro Tommasino & Petia Topalova, 2020. "Does public sector inefficiency constrain firm productivity? Evidence from Italian provinces," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(4), pages 1019-1049, August.

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    More about this item

    Keywords

    entrepreneurship; productivity growth; stochastic frontiers; Bayesian analysis; Gibbs sampling.;
    All these keywords.

    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

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