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La curva de Engel de los hogares en Medellín, Colombia 2012-2015

Author

Listed:
  • Jorge Barrientos-Marin
  • Efraín Arango Sánchez

Abstract

Este artículo analiza y caracteriza el comportamiento del gasto y los patrones de consumo de los hogares de Medellín. El análisis se basa en la curva de Engel para hogares, la cual relaciona el gasto total con el gasto específico en ciertos bienes. Se recurrió a una metodología empírica basada en tres modelos: modelos semiparamétricos, para capturar no-linealidades, modelos de variables instrumentales y modelos Tobit. Se concluye que los bienes en alimentación, bebida y tabaco y vestido y calzado, responden a la ley de Engel, y dependiendo del segmento de gasto en el cual se ubiquen las familias, para algunas será un bien normal o inferior o de lujo.

Suggested Citation

  • Jorge Barrientos-Marin & Efraín Arango Sánchez, 2019. "La curva de Engel de los hogares en Medellín, Colombia 2012-2015," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(68), pages 185-212, July.
  • Handle: RePEc:col:000152:019270
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    References listed on IDEAS

    as
    1. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2002. "Age effects on consumer demand: an additive partially linear regression model," Canadian Journal of Economics, Canadian Economics Association, vol. 35(1), pages 153-165, February.
    2. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    3. Manuel Ramírez & Darwin Cortés & Juan Miguel Gallego, 2002. "El gasto en salud de los hogares colombianos : Un analisis descriptivo," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 57, pages 87-125, Julio - D.
    4. Sonia Bhalotra & Cliff Attfield, 1998. "Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 463-480.
    5. Whitney K. Newey & James L. Powell, 2003. "Instrumental Variable Estimation of Nonparametric Models," Econometrica, Econometric Society, vol. 71(5), pages 1565-1578, September.
    6. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    8. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    ley de Engel; gasto; ingreso; endogeneidad; variable instrumental; datos censurados; econometría.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D1 - Microeconomics - - Household Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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