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Relación entre la frecuencia de consumo de vino y algunas características socioeconómicas de los individuos

Author

Listed:
  • Ginés Guirao Pérez

    (Universidad de La Laguna; Facultad de Ciencias Eonómicas y Empresariales; Departamento de Economía de las Instituciones, Estadística Económica y Econometría; Campus de Guajara; Camino La Hornera s/n; La Laguna; 38071 Sta. Cruz de Tenerife; España; Tfno (0034) 922317033)

  • Victor Javier Cano Fernández

    (Universidad de La Laguna; Facultad de Ciencias Eonómicas y Empresariales; Departamento de Economía de las Instituciones, Estadística Económica y Econometría; Campus de Guajara; Camino La Hornera s/n; La Laguna; 38071 Sta. Cruz de Tenerife; España; Tfno (0034) 922317036)

  • Marta Isabel López Yurda

    (Universidad de La Laguna; Facultad de Ciencias Eonómicas y Empresariales; Departamento de Economía de las Instituciones, Estadística Económica y Econometría; Campus de Guajara; Camino La Hornera s/n; La Laguna; 38071 Sta. Cruz de Tenerife; España; Tfno (0034) 922317040)

  • María Carolina Rodríguez Donate

    (Universidad de La Laguna; Facultad de Ciencias Eonómicas y Empresariales; Departamento de Economía de las Instituciones, Estadística Económica y Econometría; Campus de Guajara; Camino La Hornera s/n; La Laguna; 38071 Sta. Cruz de Tenerife; España; Tfno (0034) 922317943)

  • Margarita Esther Romero Rodríguez

    (Universidad de La Laguna; Facultad de Ciencias Eonómicas y Empresariales; Departamento de Economía de las Instituciones, Estadística Económica y Econometría; Campus de Guajara; Camino La Hornera s/n; La Laguna; 38071 Sta. Cruz de Tenerife; España; Tfno (0034) 922317038)

Abstract

Este artículo pretende evaluar en qué medida los rasgos socioeconómicos de los individuos influyen, por un lado, en la frecuencia de consumo de los diferentes tipos de vino y por otro lado, en el número de tipos de vino diferentes que se consumen, con el propósito de identificar distintos perfiles de consumidores de vino.Las herramientas estadísticas utilizadas en ambos casos se encuadran dentro de los modelos de elección discreta: modelo logit binomial y modelos de Poisson, respectivamente y los datos empleados proceden de una encuesta sobre consumo de vino en Tenerife realizada en abril y mayo de 2001.

Suggested Citation

  • Ginés Guirao Pérez & Victor Javier Cano Fernández & Marta Isabel López Yurda & María Carolina Rodríguez Donate & Margarita Esther Romero Rodríguez, 2004. "Relación entre la frecuencia de consumo de vino y algunas características socioeconómicas de los individuos," Documentos de trabajo conjunto ULL-ULPGC 2004-01, Facultad de Ciencias Económicas de la ULPGC.
    • Handle: RePEc:can:series:2004-01
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    References listed on IDEAS

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    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    2. 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 337-350, May-June.
    3. 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.
    4. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    5. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    6. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    7. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    8. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    9. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653.
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    Keywords

    Trade credit; multivariate analysis; multiple correpondences; cluster; information asymmetries.;
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