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Modelling Firm Innovation using Panel Probit Estimators

Author

Listed:
  • Mark N. Harris

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne and Economics Department, Central European University, Hungary)

  • Mark Rogers

    (Harris Manchester College, The University of Oxford, U.K.)

  • Anthony Siouclis

    (Monash University, Melbourne)

Abstract

Firm-level innovation is investigated using three probit panel estimators, which control for unobserved heterogeneity, and a standard probit estimator. Results indicate the standard probit model is misspecified and that inter-firm networks are important for innovation.

Suggested Citation

  • Mark N. Harris & Mark Rogers & Anthony Siouclis, 2001. "Modelling Firm Innovation using Panel Probit Estimators," Melbourne Institute Working Paper Series wp2001n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2001n20
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    References listed on IDEAS

    as
    1. James Love & Stephen Roper, 1999. "The Determinants of Innovation: R & D, Technology Transfer and Networking Effects," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 15(1), pages 43-64, August.
    2. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    3. Karlsson, Charlie & Olsson, Ola, 1998. "Product Innovation in Small and Large Enterprises," Small Business Economics, Springer, vol. 10(1), pages 31-46, February.
    4. George Symeonidis, 1996. "Innovation, Firm Size and Market Structure: Schumpeterian Hypotheses and Some New Themes," OECD Economics Department Working Papers 161, OECD Publishing.
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    Cited by:

    1. Cassey Lee & Lee Chew ging, 2007. "SME Innovation in the Malaysian Manufacturing Sector," Economics Bulletin, AccessEcon, vol. 12(30), pages 1-12.
    2. Frédérique Savignac, 2006. "The impact of financial constraints on innovation: evidence from french manufacturing firms," Cahiers de la Maison des Sciences Economiques v06042, Université Panthéon-Sorbonne (Paris 1).
    3. Edward Lorenz, 2014. "Do Credit Constrained Firms in Africa Innovate Less? A Study Based on Nine African Nations," GREDEG Working Papers 2014-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    5. Ashok Parikh & Kunal Sen, 2006. "Probit with heteroscedasticity: an application to Indian poverty analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 699-707.
    6. Artés, Joaquín, 2009. "Long-run versus short-run decisions: R&D and market structure in Spanish firms," Research Policy, Elsevier, vol. 38(1), pages 120-132, February.
    7. Juan Vicente García Manjón & Rafael Mompó & Judith Redoli, 2016. "Accelerating Innovation in Small and Medium-Sized Enterprises in the ICT Services Sector," SAGE Open, , vol. 6(3), pages 21582440166, September.
    8. Jaakko Simonen, 2005. "The innovativeness of the Finnish high technology firms – The role of internal factors, cooperation, and the mobility of labour," ERSA conference papers ersa05p462, European Regional Science Association.
    9. Aruna Pain & Indrani Chakraborty, 2023. "What Factors are Driving R&D in the Pharmaceutical Industry in India? A Study of the Post-Liberalization Period," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 617-640, September.

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