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On the Econometric Modeling of Non-Linear Relationships: the Gumbel Regression Model

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Listed:
  • Armando Sanchez Vargas

    (Universidad Nacional Autónoma de México, Institute For Economics Research)

  • José Márquez Estrada

    (Universidad Nacional Autónoma de México, Institute For Economics Research)

Abstract

Relaciones de tipo no lineal entre variables aparecen de manera frecuente en todos los campos de la economía. El debate académico sobre como modelar dichas relaciones, desde un punto de vista estadístico, ha estado centrado en el desarrollo de nuevos métodos de estimación o en la especificación de los componentes del modelo clásico de regresión lineal. En este artículo proponemos enfrentar dicho problema derivando los modelos de regresión poblacional a partir de funciones de densidad condicionales con medias no-lineales genuinas. Este procedimiento matemático garantiza no sólo una consistente derivación de la media condicional que da origen a un modelo econométrico no lineal, sino también un análisis más apropiado de los efectos casuales entre las variables económicas involucradas (efectos marginales). Finalmete, se presenta un ejemplo del funcionamiento de dicho procedimiento medianta la especificación de un modelo econométrico no lineal y heteroscedastico que surge de una distribución Gumbel.

Suggested Citation

  • Armando Sanchez Vargas & José Márquez Estrada, 2015. "On the Econometric Modeling of Non-Linear Relationships: the Gumbel Regression Model," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 10(2), pages 105-113, Julio-Dic.
  • Handle: RePEc:imx:journl:v:10:y:2015:i:2:p:105-113
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    References listed on IDEAS

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    1. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124, September.
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    More about this item

    Keywords

    Gumbel Distribution; Nonlinear Relationships; Conditional Mean; Population Regression Model;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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