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Estimación de la demanda de agua para uso residencial urbano usando un modelo discreto-continuo y datos desagregados a nivel de hogar: el caso de la ciudad de Manizales, Colombia

Author

Listed:
  • Jiménez, Darío F.
  • Orrego, Sergio A.
  • Vásquez, Felipe A.
  • Ponce, Roberto D.

Abstract

Resumen: En el presente trabajo se estima la demanda de agua para uso residencial urbano en la ciudad de Manizales, Colombia, usando un modelo estructural que considera tanto la elección discreta del bloque de consumo como la elección continua sobre la cantidad a consumir. La demanda se estimó econométricamente utilizando una base de datos única para un país en desarrollo y que contiene información completa sobre el consumo mensual de agua, el tamano del hogar, las características de la vivienda, variables climáticas, precio marginal por bloque de consumo e ingreso virtual para 490 hogares durante el período 1997-2013. Los resultados sugieren que el modelo estructural estimado, además de ser consistente con la maximización de la utilidad, parece ser la mejor aproximación empírica para la estimación econométrica de la demanda de agua para uso residencial urbano. La demanda de agua es inelástica, información que es relevante para la adopción de políticas y la regulación del recurso hídrico en áreas urbanas de Colombia

Suggested Citation

  • Jiménez, Darío F. & Orrego, Sergio A. & Vásquez, Felipe A. & Ponce, Roberto D., 2016. "Estimación de la demanda de agua para uso residencial urbano usando un modelo discreto-continuo y datos desagregados a nivel de hogar: el caso de la ciudad de Manizales, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 86, pages 153-178, December.
    • Handle: RePEc:col:000174:015398
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    More about this item

    Keywords

    demanda de agua; maximización de la utilidad; estimación econométrica; elasticidad precio de la demanda;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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