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Estadísticos para la detección de observaciones anómalas en modelos de elección binaria: una aplicación con datos reales

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  • Gregorio R. Serrano García

    (Instituto Complutense de Análisis Económico. Universidad Complutense de Madrid.)

Abstract

Este trabajo trata el problema de la detección de observaciones anómalas en modelos de elección binaria. Partiendo del estadístico propuesto en Gracia-Díez y Serrano (1994) que mide la influencia individual de cada observación sobre el vector de parámetros estimado, se derivan otros estadísticos que evalúan la influencia individual y de grupos de observaciones sobre i) el vector de probabilidades estimadas e ii) sobre subconjuntos de parámetros y combinaciones lineales de los mismos. También, se generaliza el método de Peña y Yohai (1991) para la detección de observaciones enmascaradas en modelos lineales al caso de los modelos de elección binaria. Finalmente, se propone una estrategia de diagnosis para la detección de anomalías en este tipo de modelos. Esta estrategia se ilustra mediante su aplicación al modelo probit estimado por Dhillon el. al (1987).

Suggested Citation

  • Gregorio R. Serrano García, 1994. "Estadísticos para la detección de observaciones anómalas en modelos de elección binaria: una aplicación con datos reales," Documentos de Trabajo del ICAE 9403, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    • Handle: RePEc:ucm:doicae:9403
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    References listed on IDEAS

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    1. Yohai, Víctor J., 1991. "The detection of influential subsets in linear regression using an influence matrix," UC3M Working papers. Economics 2798, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Daniel Peña, 1987. "Observaciones influyentes en modelos econométricos," Investigaciones Economicas, Fundación SEPI, vol. 11(1), pages 3-24, January.
    3. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
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