IDEAS home Printed from https://ideas.repec.org/a/atw/epecon/v2y2018i6p35-70.html
   My bibliography  Save this article

Pobreza Multidimensional en Bahía Blanca: 2004-2017

Author

Listed:
  • María Emma Santos

    (Instituto de Investigaciones Económicas y Sociales del Sur (IIESS), UNS-CONICET; Departamento de Economía, UNS; Oxford Poverty and Human Development Initiative, Universidad de Oxford.)

  • Jerónimo Etcheverry

    (Centro Regional de Estudios Económicos de Bahía Blanca)

Abstract

En este trabajo se mide la pobreza multidimensional en una ciudad intermedia, Bahía Blanca, ubicada en el sur de la Provincia de Buenos Aires, Argentina, entre 2004 y 2017. Se aplica un Índice de Pobreza Multidimensional, el cual comprende las dimensiones de vivienda, servicios básicos, estándar de vida, educación, empleo y protección social, utilizando doce indicadores. Se encuentra que hubo una disminución inambigua y sustancial de la pobreza multidimensional entre 2004 y 2009 y también entre 2009 y 2017, aunque en menor medida. Las estimaciones 2014-2017 no permiten realizar afirmaciones certeras de reducción o incremento. Se observa que en 2017 la situación social local era aún delicada.

Suggested Citation

  • María Emma Santos & Jerónimo Etcheverry, 2018. "Pobreza Multidimensional en Bahía Blanca: 2004-2017," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 2(6), pages 35-70, Octubre.
    • Handle: RePEc:atw:epecon:v:2:y:2018:i:6:p:35-70
    as

    Download full text from publisher

    File URL: https://erevistas.uca.edu.ar/index.php/ENSAYOS/article/view/2300/2131
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. María Edo & Mariana Marchionni, 2018. "Fading Out Effect or Long Lasting Nudge? The impact of a Conditional Cash Transfer Program Beyond Starting the School Year in Argentina," CEDLAS, Working Papers 0225, CEDLAS, Universidad Nacional de La Plata.
    2. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    3. 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.
    4. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    5. Basu, Kaushik & Foster, James E, 1998. "On Measuring Literacy," Economic Journal, Royal Economic Society, vol. 108(451), pages 1733-1749, November.
    6. Kaztman, Rubén, 1989. "La heterogeneidad de la pobreza: el caso de Montevideo," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    7. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    8. Santos, María Emma, 2019. "Desafíos en el diseño de medidas de pobreza multidimensional," Estudios Estadísticos 44583, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Leopoldo Tornarolli, 2018. "Series Comparables de Indigencia y Pobreza: Una Propuesta Metodológica," CEDLAS, Working Papers 0226, CEDLAS, Universidad Nacional de La Plata.
    10. Undp, 2010. "HDR 2010 - The Real Wealth of Nations: Pathways to Human Development," Human Development Report (1990 to present), Human Development Report Office (HDRO), United Nations Development Programme (UNDP), number hdr2010, September.
    11. Alkire, Sabina & Roche, José Manuel & Vaz, Ana, 2017. "Changes Over Time in Multidimensional Poverty: Methodology and Results for 34 Countries," World Development, Elsevier, vol. 94(C), pages 232-249.
    12. María Emma Santos, 2016. "Pobreza por Ingresos en Argentina y Bahía Blanca: Estimaciones de referencia y cuestiones metodológicas," Revista Actualidad Económica, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 26(89), pages 5-17, May-Ago.
    13. Sabina Alkire & James Foster & Maria Santos, 2011. "Where did identification go?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 501-505, September.
    14. 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.
    15. Adriana Conconi & Andres Ham, 2007. "Pobreza Multidimensional Relativa. Una Aplicación a la Argentina," CEDLAS, Working Papers 0057, CEDLAS, Universidad Nacional de La Plata.
    16. Maria Emma Santos, 2014. "Measuring Multidimensional Poverty in Latin America: Previous Experience and the Way Forward," OPHI Working Papers 66, Queen Elizabeth House, University of Oxford.
    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. Maria Emma Santos, 2014. "Measuring Multidimensional Poverty in Latin America: Previous Experience and the Way Forward," OPHI Working Papers 66, Queen Elizabeth House, University of Oxford.
    2. 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.
    3. 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.
    4. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    5. Álvaro José Altamirano Montoya & Karla Maria Damiano Teixeira, 2017. "Multidimensional Poverty in Nicaragua: Are Female-Headed Households Better Off?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(3), pages 1037-1063, July.
    6. Wulung Hanandita & Gindo Tampubolon, 2016. "Multidimensional Poverty in Indonesia: Trend Over the Last Decade (2003–2013)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 559-587, September.
    7. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    8. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.
    9. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    10. Diego Battiston & Guillermo Cruces & Luis Lopez-Calva & Maria Lugo & Maria Santos, 2013. "Income and Beyond: Multidimensional Poverty in Six Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 291-314, June.
    11. Ricard Giné‐Garriga & Agustí Pérez‐Foguet, 2019. "Monitoring and targeting the sanitation poor: A multidimensional approach," Natural Resources Forum, Blackwell Publishing, vol. 43(2), pages 82-94, May.
    12. Permanyer, Iñaki, 2014. "Assessing individuals' deprivation in a multidimensional framework," Journal of Development Economics, Elsevier, vol. 109(C), pages 1-16.
    13. Ke-Mei Chen & Chao-Hsien Leu & Te-Mu Wang, 2019. "Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 459-478, September.
    14. Daniel Nowak & Christoph Scheicher, 2017. "Considering the Extremely Poor: Multidimensional Poverty Measurement for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 139-162, August.
    15. 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).
    16. Sabina Alkire and James Foster, 2016. "Dimensional and Distributional Contributions to Multidimensional Poverty," OPHI Working Papers ophiwp100_2.pdf, Queen Elizabeth House, University of Oxford.
    17. Sabina Alkire & Maria Santos, 2013. "A Multidimensional Approach: Poverty Measurement & Beyond," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 239-257, June.
    18. Paul A. Ervin & Lyliana Gayoso de Ervin & Jose R. Molinas Vega & Flavia G. Sacco, 2018. "Multidimensional Poverty in Paraguay: Trends from 2000 to 2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1035-1076, December.
    19. Bronfman, Javier, 2014. "Beyond Income: A Study of Multidimensional Poverty in Chile," MPRA Paper 63256, University Library of Munich, Germany.
    20. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.

    More about this item

    Keywords

    pobreza multidimensional; pobreza monetaria; Bahía Blanca; Argentina;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:atw:epecon:v:2:y:2018:i:6:p:35-70. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/depucar.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.