IDEAS home Printed from https://ideas.repec.org/p/col/000382/014792.html
   My bibliography  Save this paper

Líneas de Pobreza en el Cauca: Una medición subvalorada

Author

Listed:
  • Andres Mauricio Gomez Sanchez
  • Claudia Liceth Fajardo Hoyos
  • Juliana Isabel Sarmiento Castillo

Abstract

Este documento tiene por objetivo estimar líneas de pobreza para el departamento del Cauca y compararlas con las cifras oficialmente establecidas a través de una metodología microeconométrica novedosa. Se parte de un conjunto de ecuaciones de demanda basándose en el Sistema Lineal de Gasto (LES) y después se estiman los umbrales de pobreza a través de un conjunto de modelos econométricos en dos escenarios: conociendo los gastos mínimos en alimentos y suponiendo los gastos mínimos de ahorro. Despues de resolver problemas de identificación, endogeneidad y sesgos muestrales, los resultados evidencian que efectivamente los umbrales de pobreza para el Cauca, independientemente de la modelación escogida, siempre están subvalorados por los datos oficiales, lo que distorsiona la política social y económica para ayudar a menguar el problema en este departamento.

Suggested Citation

  • Andres Mauricio Gomez Sanchez & Claudia Liceth Fajardo Hoyos & Juliana Isabel Sarmiento Castillo, 2016. "Líneas de Pobreza en el Cauca: Una medición subvalorada," Revista de Economía del Caribe 14792, Universidad del Norte.
    • Handle: RePEc:col:000382:014792
    as

    Download full text from publisher

    File URL: http://rcientificas.uninorte.edu.co/index.php/economia/article/viewFile/7777/pdf_273
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Édgar Pardo, 2000. "La pobreza en Smith y Ricardo," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 2(2), pages 111-130, January-J.
    4. Altimir, Oscar, 1979. "Dimensión de la pobreza en América Latina," Cuadernos de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 27898 edited by Cepal, September.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. Howard Howe, 1977. "Cross-Section Application of Linear Expenditure Systems: Responses to Sociodemographic Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(1), pages 141-148.
    7. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-1343, September.
    8. Pollak, Robert A & Wales, Terrence J, 1969. "Estimation of the Linear Expenditure System," Econometrica, Econometric Society, vol. 37(4), pages 611-628, October.
    9. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    10. Aldi Hagenaars & Klaas de Vos, 1988. "The Definition and Measurement of Poverty," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 211-221.
    11. Roberto Carlos Angulo Salazar & Beatriz Yadira Diaz & Renata Pardo Pinzon, 2013. "A Counting Multidimensional Poverty Index in Public Policy Context: The Case of Colombia," OPHI Working Papers 62, Queen Elizabeth House, University of Oxford.
    12. Howe, Howard, 1975. "Development of the extended linear expenditure system from simple saving assumptions," European Economic Review, Elsevier, vol. 6(3), pages 305-310, July.
    13. Altimir, Oscar, 1979. "Estimaciones de la dimensión de la pobreza en América Latina," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 32943, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    14. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    15. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    16. Deaton, Angus, 1974. "A Reconsideration of the Empirical Implications of Additive Preferences," Economic Journal, Royal Economic Society, vol. 84(334), pages 338-348, June.
    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. George Verikios & Kevin Hanslow & Marc Jim Mariano, 2021. "Understanding the Australian economy: a computable general equilibrium model with updated data and parameters," Economics Discussion / Working Papers 21-14, The University of Western Australia, Department of Economics.
    2. Clements, Kenneth & Mariano, Marc Jim & Verikios, George, 2022. "Expenditure patterns, heterogeneity, and long-term structural change," Economic Modelling, Elsevier, vol. 113(C).
    3. Barewal, S. & Goddard, D., 1985. "The Parameters of Consumer Food Demand in Canada," Working Papers 243862, Agriculture and Agri-Food Canada.
    4. Chern, Wen S. & Lee, Hwang Jaw, 1989. "Nonparametric and Parametric Analyses of Demand for Food at Home and Away from Home," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270706, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Kockelman, Kara Maria, 2001. "A model for time- and budget-constrained activity demand analysis," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 255-269, March.
    6. Kenneth W. Clements & Marc Jim M. Mariano & George Verikios, 2020. "Estimating The Linear Expenditure System With Cross-Sectional Data," Economics Discussion / Working Papers 20-18, The University of Western Australia, Department of Economics.
    7. Kockelman, Kara Maria & Krishnamurthy, Sriram, 2004. "A new approach for travel demand modeling: linking Roy's Identity to discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(5), pages 459-475, June.
    8. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    9. Kenneth W. Clements & Antony Selvanathan & Saroja Selvanathan, 1996. "Applied Demand Analysis: A Survey," The Economic Record, The Economic Society of Australia, vol. 72(216), pages 63-81, March.
    10. Elsner, Karin, 1999. "Analysing Russian Food Expenditure Using Micro-Data," IAMO Discussion Papers 14909, Institute of Agricultural Development in Transition Economies (IAMO).
    11. LaFrance, Jeffrey T., 2008. "The structure of US food demand," Journal of Econometrics, Elsevier, vol. 147(2), pages 336-349, December.
    12. Simona Bigerna & Carlo Andrea Bollino & Maria Chiara D’Errico, 2020. "A general expenditure system for estimation of consumer demand functions," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 1071-1088, October.
    13. van Soest, A.H.O., 1990. "Essays on micro-econometric models of consumer demand and the labour market," Other publications TiSEM be045d62-a73d-4d7c-a591-f, Tilburg University, School of Economics and Management.
    14. repec:eee:labchp:v:1:y:1986:i:c:p:103-204 is not listed on IDEAS
    15. Isamu Matsukawa, 2005. "The Benefits of Information on the Efficient Usage of Consumer Durables," Others 0501005, University Library of Munich, Germany.
    16. Cecilia Rubio & María Clara Rubio & Elena Abraham, 2018. "Poverty Assessment in Degraded Rural Drylands in the Monte Desert, Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 579-603, June.
    17. 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.
    18. Vik Singh, 2005. "Estimating a third-order translog demand system using Canadian micro-data," Econometrics 0512011, University Library of Munich, Germany.
    19. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2001. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 215-235, May.
    20. Marsh, Thomas L. & Piggott, Nicholas E., 2013. "Measuring Pre-Commited Quantities Through Consumer Price Formation," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152165, Australian Agricultural and Resource Economics Society.
    21. Ping Wang & Nhuong Tran & Dolapo Enahoro & Chin Yee Chan & Kelvin Mashisia Shikuku & Karl M. Rich & Kendra Byrd & Shakuntala H. Thilsted, 2022. "Spatial and temporal patterns of consumption of animal‐source foods in Tanzania," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 328-348, April.

    More about this item

    Keywords

    Líneas de Pobreza; Sistema Lineal de Gasto; Modelos de Ecuaciones Simultaneas; Microeconometría.;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C0 - Mathematical and Quantitative Methods - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:000382:014792. 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: Departamento de Economía UN (email available below). General contact details of provider: https://edirc.repec.org/data/denorco.html .

    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.