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Modelo para datos de recuentro de corte transversal con exceso de ceros. Aplicación a citas patentes

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  • Margarita E. Romero Rodríguez

    ()
    (Universidad de la Laguna. Departamento de Economía de las Instituciones, Estadística Económica y Econometría)

  • Enrique Los Arcos

    ()
    (Oficina Europea de Patentes. The Hague, Holanda)

  • Victor Cano Fernández

    ()
    (Universidad de la Laguna. Departamento de Economía de las Instituciones, Estadística Económica y Econometría)

  • Miguel Sánchez Padrón

    ()
    (Universidad de La Laguna. Departamento de Economía Aplicada)

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    Abstract

    En este trabajo se discuten diversos modelos de regresión para el análisis de datos de recuento de corte transversal,haciendo especial hincapié en la forma en que cada uno recoge dos de las características más comunes de este tipo de datos, el exceso de ceros y la heterogeneidad no observada. Además se lleva a cabo su aplicación en un conjunto de datos sobre patentes, concedidas por la Oficina Europea de Patentes (OEP). En concreto se analiza una de las relaciones propuestas en la literatura, la planteada entre el número de citas recibidas por las patentes y el alcance de las mismas, considerando, además, otro conjunto de características que pueden ser relevantes en la explicación del número de citas. La comparación de los resultados obtenidos con las distintas aproximaciones ilustra la influencia del tipo de modelo elegido sobre las conclusiones que pueden extraerse.

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    Bibliographic Info

    Paper provided by Facultad de Ciencias Económicas de la ULPGC in its series Documentos de trabajo conjunto ULL-ULPGC with number 2001-05.

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    Length: 29 pages
    Date of creation: 2001
    Date of revision:
    Handle: RePEc:can:series:2001-05

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    Related research

    Keywords: Datos de recuento; Poisson; heterogeneidad no observada; sobredispersión; exceso de ceros; citas patentes;

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    1. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
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    11. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    12. Joly, Pierre-Benoit & de Looze, Marie-Angele, 1996. "An analysis of innovation strategies and industrial differentiation through patent applications: the case of plant biotechnology," Research Policy, Elsevier, vol. 25(7), pages 1027-1046, October.
    13. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    14. Winkelmann, Rainer, 1995. "Duration Dependence and Dispersion in Count-Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 467-74, October.
    15. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    16. Mullahy, John, 1997. "Heterogeneity, Excess Zeros, and the Structure of Count Data Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 337-50, May-June.
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