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La pobreza en los hogares del Gran Córdoba: aplicación del modelo de regresión logística

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Listed:
  • Silvia Ojeda

    (Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas (Córdoba, Argentina). Universidad Nacional de Córdoba, Facultad de Matemática Astronomía y Física (Córdoba, Argentina))

  • Liliana E. Pereyra

    (Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas (Córdoba, Argentina))

  • Sonia Gontero

    (Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas (Córdoba, Argentina))

Abstract

Con el propósito de identificar perfiles de bienestar de la población cordobesa, este trabajo indaga sobre las variables que inciden en la probabilidad de un hogar de ser o no pobre, mediante un análisis de regresión logística. La medida utilizada para la identificación de los hogares pobres se realiza a partir del método de la línea de la pobreza absoluta y los datos utilizados corresponden a los proporcionados por la Encuesta Permanente de Hogares para octubre de 2001. Su contribución al estudio del problema de la pobreza radica en que proporciona herramientas de utilidad para el diseño de políticas destinadas a paliar este flagelo. / In order to identify profiles of well-being of the population of Córdoba, Argentina, this paper studies the variables that affect the probability of a home of being or not being poor, using a logistic regression analysis. The measure used for the identification of the poor homes is the absolute poverty line and data used are provided by the Permanent Homes Survey for October of 2001. Its contribution to the study of the poverty problem is that it provides tools of utility for the design of policies destined to palliate this flagellum.

Suggested Citation

  • Silvia Ojeda & Liliana E. Pereyra & Sonia Gontero, 2005. "La pobreza en los hogares del Gran Córdoba: aplicación del modelo de regresión logística," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 43(1), pages 99-121, Junio.
    • Handle: RePEc:ief:reveye:v:43:y:2005:i:1:p:99-121
    DOI: 10.55444/2451.7321.2005.v43.n1.3813
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    References listed on IDEAS

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    1. Harvy Vivas Pacheco, 1996. "Perfiles de Bienestar de los Grupos Vulnerables en Cali-Yumbo," Documentos de Trabajo 4127, Universidad del Valle, CIDSE.
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    Cited by:

    1. Julio Cesar Quispe-Mamani & Santotomas Licimaco Aguilar-Pinto & Dominga Asunción Calcina-Álvarez & Nelly Jacqueline Ulloa-Gallardo & Roxana Madueño-Portilla & Jorge Luis Vargas-Espinoza & Félix Quispe, 2022. "Social Factors Associated with Poverty in Households in Peru," Social Sciences, MDPI, vol. 11(12), pages 1-18, December.
    2. Francisco J. Ciocchini & Gabriel Molteni, 2008. "Medidas alternativas de la pobreza en el Gran Buenos Aires, 1995-2006," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 1(2), pages 46-82, Octubre.
    3. Falavigna, Claudio & Hernandez, Diego, 2016. "Assessing inequalities on public transport affordability in two latin American cities: Montevideo (Uruguay) and Córdoba (Argentina)," Transport Policy, Elsevier, vol. 45(C), pages 145-155.

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      More about this item

      Keywords

      Línea de la pobreza absoluta; perfiles de bienestar; regresión logística; Encuesta Permanente de Hogares (EPH);
      All these keywords.

      JEL classification:

      • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
      • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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