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Entry and Patenting in the Pharmaceutical Industry

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  • Maria Letizia GIORGETTI
  • Maria Luisa MANCUSI

Abstract

We study the impact of incumbents' and own patents on entry in pharmaceutical submarkets in the USA for the period 1988-1998. We relate the variation in the effect of patents on entry to some observable market and firm characteristics and find a negative impact of incumbents' patents on entry, which confirms the role of patents as a barrier to entry.

Suggested Citation

  • Maria Letizia GIORGETTI & Maria Luisa MANCUSI, 2016. "Entry and Patenting in the Pharmaceutical Industry," Departmental Working Papers 2016-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    • Handle: RePEc:mil:wpdepa:2016-02
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    References listed on IDEAS

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    1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    2. 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.
    3. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    4. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    5. Bo E. Honore & Arthur Lewbel, 2002. "Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors," Econometrica, Econometric Society, vol. 70(5), pages 2053-2063, September.
    6. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, January.
    7. Martin Biewen, 2004. "Measuring State Dependence in Individual Poverty Status: Are there Feedback Effects to Employment Decisions and Household Composition?," Discussion Papers of DIW Berlin 429, DIW Berlin, German Institute for Economic Research.
    8. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    9. Margaret K. Kyle, 2006. "The role of firm characteristics in pharmaceutical product launches," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 602-618, September.
    10. Jean O. Lanjouw, 2005. "Patents, Price Controls and Access to New Drugs: How Policy Affects Global Market Entry," Working Papers 61, Center for Global Development.
    11. Arellano, Manuel & Carrasco, Raquel, 2003. "Binary choice panel data models with predetermined variables," Journal of Econometrics, Elsevier, vol. 115(1), pages 125-157, July.
    12. Natália Barbosa, 2003. "What drives new firms into an industry? An integrative model of entry," NIMA Working Papers 23, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, January.
    14. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    15. Luís M. B. Cabral & Thomas W. Ross, 2008. "Are Sunk Costs a Barrier to Entry?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 17(1), pages 97-112, March.
    16. Geroski, Paul A, 1999. "The Growth of Firms in Theory and in Practice," CEPR Discussion Papers 2092, C.E.P.R. Discussion Papers.
    17. repec:bla:jindec:v:47:y:1999:i:2:p:169-94 is not listed on IDEAS
    18. Iain M. Cockburn & Megan J. MacGarvie, 2011. "Entry and Patenting in the Software Industry," Management Science, INFORMS, vol. 57(5), pages 915-933, May.
    19. Davies, Stephen & Lyons, Bruce, 1996. "Industrial Organization in the European Union: Structure, Strategy, and the Competitive Mechanism," OUP Catalogue, Oxford University Press, number 9780198289739.
    20. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-1150, September.
    21. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    22. Matthew F. Mitchell, 2000. "The Scope and Organization of Production: Firm Dynamics Over the Learning Curve," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 180-205, Spring.
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    More about this item

    Keywords

    Entry; Patents; Bayesian Inference; Panel data; Probit model; Random effects;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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