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What drives new firms into an industry? An integrative model of entry

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Abstract

The paper focuses on the theoretical and empirical formulation of an entry model that integrates strategic considerations and firms' heterogeneity. Entry decisions are derived from a profit function, and, subsequently, the number of entrants is defined as the sum of firms that have effectively decided to enter a given industry. As the aggregation of individual entry decisions yields a discrete outcome, the econometric methodology is based on panel count data models, rendering a novel departure from previous works. The results suggest that both incumbents' behaviour towards entry and firm-specific characteristics provide additional and interesting insights in understanding entry.

Suggested Citation

  • 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.
  • Handle: RePEc:nim:nimawp:23/2003
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    2. Gianni Amisano & Maria Letizia Giorgetti, 2005. "Entry in Pharmaceutical submarkets: A Bayesian Panel Probit Approach," Working Papers ubs0511, University of Brescia, Department of Economics.
    3. Aslan Zorlu & Joop Hartog, 2005. "The effect of immigration on wages in three european countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(1), pages 113-151, December.
    4. Paulo Guimarães, 2002. "The state of Portuguese research in economics: an analysis based on publications in international journals," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(1), pages 3-25, March.
    5. Botelho, Anabela & Pinto, Ligia Costa, 2004. "Students' expectations of the economic returns to college education: results of a controlled experiment," Economics of Education Review, Elsevier, vol. 23(6), pages 645-653, December.
    6. Pinto, Ligia M. & Harrison, Glenn W., 2003. "Multilateral negotiations over climate change policy," Journal of Policy Modeling, Elsevier, vol. 25(9), pages 911-930, December.
    7. Anabela Botelho, 2001. "Strategic behavior at trial-The production, reporting, and evaluation of complex evidence," NIMA Working Papers 14, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    8. 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.
    9. Joao Cerejeira da Silva, 2002. "Identification of the Portuguese industrial districts," NIMA Working Papers 17, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    10. Frances Ruane & Xiaoheng Zhang, 2007. "Location Choices of the Pharmaceutical Industry in Europe after 1992," The Institute for International Integration Studies Discussion Paper Series iiisdp220, IIIS.
    11. Elvira Lima & Teresa J. Esquerdo, 2003. "The economic costs of alcohol misuse in Portugal," NIMA Working Papers 24, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    12. Pedro Portugal & Ana Rute Cardoso, 2001. "Disentangling the minimum wage puzzle: an analysis of job accessions and separations from a longitudinal matched employer- employee data set," NIMA Working Papers 9, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    13. Ana Rute Cardoso & Priscila Ferreira, 2009. "The dynamics of job creation and destruction for university graduates: why a rising unemployment rate can be misleading," Applied Economics, Taylor & Francis Journals, vol. 41(19), pages 2513-2521.
    14. Elvira Lima & David K. Whynes, 2003. "Finance and performance of Portuguese hospitals," NIMA Working Papers 20, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
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    More about this item

    Keywords

    entry; firms' heterogeneity; manufacturing; panel count data models;
    All these keywords.

    JEL classification:

    • 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
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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