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Changes in the Dependence Structure of AROPE Components: Evidence from the Spanish Region

Author

Listed:
  • César García Gómez

    (Universidad de Valladolid)

  • Ana Pérez

    (Universidad de Valladolid)

  • Mercedes Prieto-Alaiz

    (Universidad de Valladolid)

Abstract

The AROPE rate is a multidimensional indicator to monitor poverty in the European Union which combines income, work intensity and material deprivation. However, it misses the possible relationship between its components. To overcome this drawback, some authors proposed to complement the AROPE rate with measures of the dependence between its dimensions, since higher dependence can exacerbate poverty. In this paper, we follow this approach and measure such dependence in the Spanish regions over the period 2008-2018 using three multivariate versions of Spearman’s rank correlation coefficient. Our results reveal an asymmetric effect of the economic cycle on the dependence between poverty dimensions, as this dependence, in many Spanish regions, substantially increased during the Great Recession but dropped little during the economic recovery. Moreover, regions with higher AROPE rates also tend to experience more dependence between its dimensions.

Suggested Citation

  • César García Gómez & Ana Pérez & Mercedes Prieto-Alaiz, 2024. "Changes in the Dependence Structure of AROPE Components: Evidence from the Spanish Region," Hacienda Pública Española / Review of Public Economics, IEF, vol. 248(1), pages 21-51, March.
  • Handle: RePEc:hpe:journl:y:2024v:248:i:1:p:21-51
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    References listed on IDEAS

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    1. Koen Decancq, 2020. "Measuring cumulative deprivation and affluence based on the diagonal dependence diagram," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 103-117, August.
    2. César Garcia-Gomez & Ana Pérez & Mercedes Prieto-Alaiz, 2022. "The evolution of poverty in the EU-28: a further look based on multivariate tail dependence," Working Papers 605, ECINEQ, Society for the Study of Economic Inequality.
    3. Kateryna Tkach & Chiara Gigliarano, 2018. "Multidimensional poverty measurement: dependence between well-being dimensions using copula function," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(3), pages 89-100, July-Sept.
    4. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    5. Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
    6. Mesfioui, Mhamed & Quessy, Jean-François, 2010. "Concordance measures for multivariate non-continuous random vectors," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2398-2410, November.
    7. Francisco H. G. Ferreira & Maria Ana Lugo, 2013. "Multidimensional Poverty Analysis: Looking for a Middle Ground," The World Bank Research Observer, World Bank, vol. 28(2), pages 220-235, August.
    8. 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.
    9. Vanda Almeida & Silvia De Poli & Adrián Hernández, 2022. "The effectiveness of Minimum Income schemes in the EU," JRC Working Papers on Taxation & Structural Reforms 2022-09, Joint Research Centre.
    10. Luis Ayala & Antonio Jurado & Jesús Pérez‐Mayo, 2011. "Income Poverty And Multidimensional Deprivation: Lessons From Cross‐Regional Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(1), pages 40-60, March.
    11. Roger Nelsen & Manuel Úbeda-Flores, 2012. "Directional dependence in multivariate distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 677-685, June.
    12. García, Jesús E. & González-López, V.A. & Nelsen, R.B., 2013. "A new index to measure positive dependence in trivariate distributions," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 481-495.
    13. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(2), pages 183-201.
    14. Jean-Yves Duclos & Luca Tiberti, 2016. "Multidimensional poverty indices: A critical assessment," Cahiers de recherche 1602, CIRPEE.
    15. Suman Seth, 2013. "A class of distribution and association sensitive multidimensional welfare indices," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(2), pages 133-162, June.
    16. Pérez, Ana & Prieto-Alaiz, Mercedes, 2016. "A note on nonparametric estimation of copula-based multivariate extensions of Spearman’s rho," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 41-50.
    17. Suman Seth & Maria Emma Santos, 2019. "On the Interaction Between Focus and Distributional Properties in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 503-521, September.
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    More about this item

    Keywords

    Multivariate dependence; Spearman’s rho; Multidimensional poverty; AROPE;
    All these keywords.

    JEL classification:

    • 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
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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