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A Counting Multidimensional Poverty Index in Public Policy Context: The Case of Colombia

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  • Roberto Carlos Angulo Salazar
  • Beatriz Yadira Diaz
  • Renata Pardo Pinzon

Abstract

Previous multidimensional indicators adopted in Colombian, as the Unmet Basic Needs or the Living Conditions Index, lose their policy relevance and arguably have become poor instruments for poverty measurement. This paper presents the Colombian Multidimensional Poverty Index (CMPI), a synthetic indicator that overcomes the methodological problems that arose from previous multidimensional indices, and that has a broad public policy scope of use. The CMPI is based on the methodology of Alkire and Foster (2010); is composed of five dimensions (education of household members, childhood and youth conditions, health, employment and access to household utilities and living conditions); and uses a nested weighting structure, where each dimension is equally weighted, as is each indicator within each dimension. This paper proposes the CMPI to tracking multiple deprivations across the national territory, to monitor public policies by sector and to design poverty reduction goals, among other public policy uses. Analysis of the results demonstrates that multidimensional poverty in Colombia decreased between 1997 and 2010. Multidimensional poverty rates decreased in both urban and rural areas, but imbalances remain.

Suggested Citation

  • 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.
    • Handle: RePEc:qeh:ophiwp:ophiwp062
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    References listed on IDEAS

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    Cited by:

    1. Roberto Angulo, 2016. "From Multidimensional Poverty Measurement to Multisector Public Policy for Poverty Reduction: Lessons from the Colombian Case," OPHI Working Papers ophiwp102_1.pdf, Queen Elizabeth House, University of Oxford.
    2. Santos, María Emma, 2019. "Challenges in designing national multidimensional poverty measures," Estudios Estadísticos 44453, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. Prieto, Amanda Vargas & García-Estévez, Javier & Ariza, John Fredy, 2022. "On the relationship between mining and rural poverty: Evidence for Colombia," Resources Policy, Elsevier, vol. 75(C).
    4. 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.
    5. 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.
    6. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    7. Laura Rodríguez, 2022. "Violence and newborn health: Estimates for Colombia," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 112-136, January.
    8. Dorothy Watson & Bertrand Maître & Christopher T. Whelan & Helen Russell, 2017. "Poverty, economic stress and quality of life: lessons from the Irish case," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 64(2), pages 125-143, June.
    9. Adrián Cabrera & Carmelo García-Pérez, 2020. "Homeless in Spain: An Analysis Based on Multidimensional Indicators of Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1149-1167, October.
    10. Santos, María Emma, 2019. "Non-monetary indicators to monitor SDG targets 1.2 and 1.4: standards, availability, comparability and quality," Estudios Estadísticos 44452, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Maira Colacce & Victoria Tenenbaum, 2017. "Un análisis de la evolución de la pobreza multidimensional en la infancia y adolescencia en Uruguay entre 2006 y 2014," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 32(2), pages 171-212.
    12. Sebastián Burgos Dávila & Fernando Cando Ortega, 2016. "Multidimensional poverty: an index for Ecuador using Alkire and Foster methodology," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 41(42), pages 11-52, july-dece.
    13. Maria Emma Santos & Pablo Villatoro & Xavier Mancero & Pascual Gerstenfeld, 2015. "A Multidimensional Poverty Index for Latin America," OPHI Working Papers 79, Queen Elizabeth House, University of Oxford.
    14. Diego García‐Vélez & José J. Nuñez Velázquez, 2021. "A network analysis approach in multidimensional poverty," Poverty & Public Policy, John Wiley & Sons, vol. 13(1), pages 59-68, March.
    15. Builes-Jaramillo, Alejandro & Lotero, Laura, 2020. "Closeness matters. Spatial autocorrelation and relationship between socioeconomic indices and distance to departmental Colombian capitals," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

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