IDEAS home Printed from https://ideas.repec.org/a/col/000152/019270.html

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

Author

Listed:
  • Jorge Barrientos-Marin
  • Efra�n Arango S�nchez

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 & Efra�n Arango S�nchez, 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.
    • Handle: RePEc:col:000152:019270
    as

    Download full text from publisher

    File URL: https://revistas.uptc.edu.co/index.php/cenes/article/view/8479
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2002. "Age effects on consumer demand: an additive partially linear regression model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 35(1), pages 153-165, February.
    3. 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.
    4. 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.
    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, Enero-Abr.
    9. Manuel Ramirez & Darwin Cortes & Juan Miguel Gallego, 2002. "El gasto en salud de los hogares colombianos: un an√°lisis descriptivo," Borradores de Investigación 2506, Universidad del Rosario.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Hugo Barrientos Marín, 2006. "Estimation And Testing An Additive Partially Linear Model In A Sysmtem Of Engel Curves," Grupo Microeconomía Aplicada 034, Universidad de Antioquia, Departamento de Economía.
    2. Gong, Xiaodong & van Soest, Arthur & Zhang, Ping, 2000. "Sexual Bias and Household Consumption: A Semiparametric Analysis of Engel Curves in Rural China," IZA Discussion Papers 212, IZA Network @ LISER.
    3. Hasan, Syed Abul & Mozumder, Pallab, 2017. "Income and energy use in Bangladesh: A household level analysis," Energy Economics, Elsevier, vol. 65(C), pages 115-126.
    4. Mette Christensen, 2007. "Integrability of Demand Accounting for Unobservable Heterogeneity: A Test on Panel Data," Economics Discussion Paper Series 0713, Economics, The University of Manchester.
    5. Ingvild Almås & Anders Kjelsrud & Rohini Somanathan, 2019. "A Behavior‐Based Approach to the Estimation of Poverty in India," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 182-224, January.
    6. Haider, Adnan & Zaidi, Masroor, 2017. "Food Consumption Patterns and Nutrition Disparity in Pakistan," MPRA Paper 83522, University Library of Munich, Germany.
    7. Xiaodong Gong & Laurie Brown, 2017. "The Impacts of the Presence of Disabled Members on Intra-household Allocation in Older Australian Households," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 398-411, December.
    8. Syed Hasan & Mathias Sinning, 2018. "GST Reform in Australia: Implications of Estimating Price Elasticities of Demand for Food," The Economic Record, The Economic Society of Australia, vol. 94(306), pages 239-254, September.
    9. Christian Dudel & Jan Marvin Garbuszus & Julian Schmied, 2021. "Assessing differences in household needs: a comparison of approaches for the estimation of equivalence scales using German expenditure data," Empirical Economics, Springer, vol. 60(4), pages 1629-1659, April.
    10. Syed Abul Hasan, 2016. "Engel curves and equivalence scales for Bangladesh," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(2), pages 301-315, April.
    11. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    12. A. Montini, 1999. "I consumi alimentari delle famiglie italiane: un modello per le decisioni di consumo extradomestico utilizzando i microdati di spesa familiare," Working Papers 364, Dipartimento Scienze Economiche, Universita' di Bologna.
    13. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    14. Zereyesus, Yacob Abrehe & Xia, Tian & Nava, Noé J. & Li, Xianghong & Cardell, Lila, 2025. "International Income and Price Elasticity Estimates: An Update," Technical Bulletins 358604, United States Department of Agriculture, Economic Research Service.
    15. Chavas, Jean-Paul, 2013. "On Demand Analysis and Dynamics: A Benefit Function Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149683, Agricultural and Applied Economics Association.
    16. Paula Carvalho Pereda & Denisard Cneio de Oliveira Alves, 2008. "Demand for Nutrients in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211136590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Ole Boysen, 2019. "When does specification or aggregation across consumers matter for economic impact analysis models? An investigation into demand systems," Empirical Economics, Springer, vol. 56(1), pages 137-172, January.
    18. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    19. Zhou, De & Yu, Xiaohua & Herzfeld, Thomas, 2015. "Dynamic food demand in urban China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 27-44.
    20. Arthur Lewbel, 2025. "Direct utility functions for rank two and quadratic logarithmic continuous demand systems," Journal of Productivity Analysis, Springer, vol. 63(3), pages 285-290, June.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000152:019270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luis Eudoro Vallejo Zamudio (email available below). General contact details of provider: https://revistas.uptc.edu.co/index.php/cenes/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.