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Understanding the multidimensional structure of poverty in Argentine households

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  • Moneta Pizarro Adrián Maximiliano

Abstract

A question of great interest for the design of multidimensional poverty measures is whether they should include a monetary poverty indicator. One of the most common arguments for keeping income poverty separate from non-monetary poverty is that they reflect different dimensions of the phenomenon. This paper explores the multidimensional structure of poverty in Argentina and investigate whether monetary poverty should be considered as another indicator of multidimensional poverty using generalized structural equation modeling (GSEM) methods. Using categorical data from the Encuesta Permanente de Hogares (EPH), a generalized confirmatory factor analysis model (GCFA) and a GSEM with a second-order factor are analyzed. The GCFA model postulates the traditional assumption that monetary poverty is just another dimension of poverty, while the GSEM supports the hypothesis that monetary poverty is a cause of non-monetary poverty. The results show that the data fit well in both cases, but that it is more plausible to consider that the non-monetary factors are indicators of a higher order dimension and that this non-monetary poverty, as a whole, is explained by monetary poverty. Finally, the implications of these results for the design of multidimensional poverty indicators in Argentina are discussed.

Suggested Citation

  • Moneta Pizarro Adrián Maximiliano, 2024. "Understanding the multidimensional structure of poverty in Argentine households," Asociación Argentina de Economía Política: Working Papers 4747, Asociación Argentina de Economía Política.
    • Handle: RePEc:aep:anales:4747
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    References listed on IDEAS

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    1. Siu Ming Chan & Hung Wong, 2020. "Impact of Income, Deprivation and Social Exclusion on Subjective Poverty: A Structural Equation Model of Multidimensional Poverty in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 971-990, December.
    2. Jimena Macció & Ann Mitchell, 2023. "Medición Multidimensional de Pobreza en Ciudades Segregadas: Evidencia de la Ciudad de Buenos Aires," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 93(3), pages 101-137, March.
    3. Di Tommaso, Maria Laura, 2007. "Children capabilities: A structural equation model for India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(3), pages 436-450, June.
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    More about this item

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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