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Curvas de Engel de Alimentos, Preferencias Heterogéneas y Características Demográficas de los Hogares: Estimaciones para Argentina

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  • Georgina Pizzolitto

    (Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS) - FCE - UNLP)

Abstract

El presente trabajo analiza el gasto en alimentos que realizan los hogares en Argentina mediante la estimación de curvas de Engel, teniendo en cuenta tanto características demográficas de los hogares como la presencia de heterogeneidad en sus preferencias de consumo. La estimación de distintas formas funcionales para la curva de Engel, realizadas mediante técnicas econométricas paramétricas y semi-paramétricas, sugiere que tanto las especificaciones no lineales, como las formas flexibles de Fourier presentan un mejor ajuste de los datos. Mediante regresiones por cuantiles, se comprueba la existencia de heterogeneidad no observable en el consumo de alimentos a la vez que se confirma la importancia de características demográficas del hogar en el nivel y los patrones de consumo que éstos realizan. This paper examines food consumption in Argentinean households through the estimation of food Engel curves. It also considers households demographic characteristics and heterogeneity in consumption preferences. The estimation of different functional forms for the Engel curves, using parametric and semiparametric techniques, suggests that both, non linear and Fourier flexible functional form are the best approximations to work with and adequate represent the data. Quantile regression confirms that the relation between the share of budget spend on food and the logarithm of household expenditure per head differs at different points in the conditional distribution. Household demographic characteristics are also important in determining the share of the household budget devoted to food and the consumption patterns.

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Bibliographic Info

Paper provided by CEDLAS, Universidad Nacional de La Plata in its series CEDLAS, Working Papers with number 0045.

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Length: 26 pages
Date of creation: Jan 2007
Date of revision:
Handle: RePEc:dls:wpaper:0045

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Postal: Calle 48 No555 - La Plata (1900)
Phone: 21- 1466
Fax: 54-21-25-9536
Web page: http://cedlas.econo.unlp.edu.ar/
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Keywords: Consumo Alimentos; Curva de Engel; Regresión por Cuantiles; Argentina.;

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  1. Deaton, Angus S & Ruiz-Castillo, Javier & Thomas, Duncan, 1989. "The Influence of Household Composition on Household Expenditure Patterns: Theory and Spanish Evidence," Journal of Political Economy, University of Chicago Press, vol. 97(1), pages 179-200, February.
  2. Gibson, John, 2002. " Why Does the Engel Method Work? Food Demand, Economies of Size and Household Survey Methods," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 341-59, September.
  3. Richard Blundell & Alan Duncan, 1998. "Kernel Regression in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 62-87.
  4. Lanjouw, Peter & Ravallion, Martin, 1995. "Poverty and Household Size," Economic Journal, Royal Economic Society, vol. 105(433), pages 1415-34, November.
  5. 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.
  6. Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
  7. 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.
  8. Muellbauer, John, 1977. "Testing the Barten Model of Household Composition Effects and the Cost of Children," Economic Journal, Royal Economic Society, vol. 87(347), pages 460-87, September.
  9. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-30, May.
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Cited by:
  1. Ricardo Bebczuk & Francisco Haimovich, 2007. "MDGs and Microcredit: An Empirical Evaluation for Latin American Countries," CEDLAS, Working Papers 0048, CEDLAS, Universidad Nacional de La Plata.
  2. Ricardo Bebczuk, 2009. "SME Access to Credit in Guatemala and Nicaragua: Challenging Conventional Wisdom with New Evidence," CEDLAS, Working Papers 0080, CEDLAS, Universidad Nacional de La Plata.
  3. Sebastian Galiani & Federico Weinschelbaum, 2007. "Modeling Informality Formally: Households and Firms," CEDLAS, Working Papers 0047, CEDLAS, Universidad Nacional de La Plata.

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