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Población en riesgo de pobreza y/o exclusión social. Propuesta metodológica para la estimación del indicador AROPE en los municipios de Andalucía

Author

Listed:
  • Juan Manuel Espejo Benítez

    (Universidad de Pablo de Olavide de Sevilla)

  • José María Millán Tapia

    (Universidad de Huelva)

Abstract

This work presents a methodological proposal for the continuous estimation of the AROPE indicator (Eurostat) –and its components on income and employment– about people at risk of poverty and/or social exclusion in Andalusian municipalities. The predictive power of this method is assessed by an estimation exercise for this indicator during the period 2016-2018, which shows how the methodology provides accurate estimations of the aggregated indicator values for Andalusia and its evolution over time. The results reveal how aggregated data hide not just high heterogeneity of the estimated municipal values but also significant territorial redistribution of poverty and/or social exclusion during the study period.

Suggested Citation

  • Juan Manuel Espejo Benítez & José María Millán Tapia, 2023. "Población en riesgo de pobreza y/o exclusión social. Propuesta metodológica para la estimación del indicador AROPE en los municipios de Andalucía," Hacienda Pública Española / Review of Public Economics, IEF, vol. 246(3), pages 101-135, September.
    • Handle: RePEc:hpe:journl:y:2023:v:246:i:3:p:101-135
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    References listed on IDEAS

    as
    1. 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.
    2. Monique Graf & J. Miguel Marín & Isabel Molina, 2019. "A generalized mixed model for skewed distributions applied to small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 565-597, June.
    3. Yolanda Marhuenda & Isabel Molina & Domingo Morales & J. N. K. Rao, 2017. "Poverty mapping in small areas under a twofold nested error regression model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1111-1136, October.
    4. Jacques Silber, 2007. "Measuring poverty: taking a multidimensional perspective," Hacienda Pública Española / Review of Public Economics, IEF, vol. 182(3), pages 29-74, September.
    5. Alberto Díaz Dapena & Esteban Fernández Vázquez & Fernando Rubiera Morollón & Ana Viñuela, 2021. "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 63-81, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Poverty; Social exclusion; Inequality; Small spatial scale-municipalities; Territorial heterogeneity.;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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