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Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data

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Abstract

In order to contribute to providing a methodology to ensure objectivity and transparency in the measurement of multidimensional poverty, this paper proposes a new threshold for the identification of the multidimensional poor which is also applicable to each of the dimensions of poverty, suitable for identifying the severely poor in developed countries. This new methodology is applied to analyse the evolution of material deprivation in Spain during the period of economic crisis, comparing the results with those obtained using other traditional approaches.

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Notes

  1. A review of the main methodologies to measure multidimensional poverty may be found in Silber (2007).

  2. The use of absolute or relative lines leads to very different results as illustrated by Garroway and De Laiglesia (2012).

  3. In order to analyse the performance of the threshold proposed using income as one of the dimensions of the poverty indicator, the threshold has also been used to analyse multidimensional poverty with data from Spain using the dimensions included in the AROPE rate (At risk of poverty or social exclusion) including monetary poverty. The results reveal the proper functioning of the threshold and are available to readers on request in an annex.

  4. It should be noted that the concept of social exclusion has had great relevance in the European Union institutional framework, where the characterisation of poverty as a multidimensional phenomenon integrates aspects of social exclusion and material deprivation.

  5. In this sense, Atkinson (1998) defines excluded people as those who have been removed from the involvement in the normal activities of the society in which they live, connecting with Sen's approach on the individual lacking the basic capabilities required to obtain the basic functionings in a society.

  6. Sen (1983, p. 159) argues that “If there is starvation and hunger, then—no matter what the relative picture looks like—there clearly is poverty. In this sense the relative picture—if relevant—has to take a back seat behind the possibly dominating absolute consideration”.

  7. These poverty indices are an extension of the family proposed by Foster et al. (1984) in the monetary poverty context.

  8. The poverty intensity concept used in this paper is drawn from the Alkire and Foster methodology and refers to the number of deprivations experienced by the poor (Alkire and Foster 2011b). This concept differs from that used in the one-dimensional analysis of poverty in which the intensity of poverty is measured through a function that summarises the distances from the poverty line to the income of the poor (Jenkins and Lambert 1997).

  9. In this sense, this measure overcomes one of the shortcomings of the multidimensional poverty headcount (H) since it does not increase when the number of deprivations that poor people have increases.

  10. Other properties of M 0 could be found in Alkire and Foster (2011a).

  11. In order to check the validity of the proposed threshold, using EU-SILC samples of the twenty-eight EU countries, from 2005 to 2013, we have tested whether PM distributions without outliers could exist. The analysis of all the PM distributions reveals that all PM distributions have outliers.

  12. This work is part of a broad line of research on multidimensional poverty that utilises the EU-SILC for Spain and the other countries of the European Union and that, despite the diversity of approaches adopted, allows for some international comparisons of poverty multidimensional results. Among the most recent studies in this line of research, we can find those of Bárcena et al. (2014), Alkire et al. (2014), Whelan and Maître (2012, 2013) and the report of the Consejo Económico y Social (2013) which considers all available waves of the survey.

References

  • Alkire, S., Apablaza, M., & Jung, E. (2014). Multidimensional poverty measurement for EU-SILC countries. OPHI research in progress 36c, Oxford University.

  • Alkire, S., & Foster, J. (2007). Counting and multidimensional poverty measures. OPHI working paper, no 7.

  • Alkire, S., & Foster, J. (2011a). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487.

    Article  Google Scholar 

  • Alkire, S., & Foster, J. (2011b). Understandings and misunderstandings of multidimensional poverty measurement. Journal of Economic Inequality, 9(2), 289–314.

    Article  Google Scholar 

  • Alkire, S., Foster, J., Seth, S., Santos, E., Roche, J. M., & Ballon, P. (2015). Multidimensional poverty measurement and analysis. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251–274.

    Article  Google Scholar 

  • Alkire, S., & Seth, S. (2013). Selecting a targeting method to identify BPL households in India. Social Indicators Research, 112(2), 417–446.

    Article  Google Scholar 

  • Alkire, S., & Seth, S. (2015). Multidimensional poverty reduction in India between 1999 and 2006: Where and how? World Development, 72((C)), 93–108.

    Article  Google Scholar 

  • Atkinson, A. B. (1998). Poverty in Europe. Oxford: Wiley and Blackwell.

    Google Scholar 

  • Atkinson, A. B. (2003). Multidimensional deprivation. Contrasting social welfare and counting approaches. Journal of Economic Inequality, 1, 51–65.

    Article  Google Scholar 

  • Atkinson, T., Cantillon, B., Marlier, E., & Nolan, B. (2002). Social indicators: The EU and social inclusion. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Atkinson, A. B., & Marlier, E. (2010). Income and living conditions in Europe. Luxembourg: European Commission, Eurostat Statistical Books.

    Google Scholar 

  • Ayala, L., Jurado, A., & Pérez-Mayo, J. (2011). Income poverty and multidimensional deprivation: Lessons from cross-regional analysis. Review of Income and Wealth, 57, 40–60.

    Article  Google Scholar 

  • Bárcena, E., Lacomba, B., Moro-Egido, A. I., & Pérez-Moreno, S. (2014). Country differences in material deprivation in Europe. Review of Income and Wealth, 60(4), 802–820.

    Google Scholar 

  • Barnett, V., & Lewis, T. (1994). Outliers in statistical data. London: Wiley.

    Google Scholar 

  • Batana, Y. (2013). Multidimensional measurement of poverty among women in Sub-Saharan Africa. Social Indicators Research, 112(2), 337–362.

    Article  Google Scholar 

  • Battiston, D., Cruces, G., López-Calva, L. F., Lugo, M. A., & Santos, M. E. (2013). Income and beyond: Multidimensional poverty in six Latin American Countries. Social Indicators Research, 112(2), 291–314.

    Article  Google Scholar 

  • Bourguignon, F., & Chakravarty, S. (2003). The measurement of multidimensional poverty. Journal of Economic Inequality, 1, 25–49.

    Article  Google Scholar 

  • Consejo Económico y Social. (2013). Informe 03/2013 sobre distribución de la renta en España: desigualdad, cambios estructurales y ciclos. Madrid: CES.

    Google Scholar 

  • Decancq, K., & Lugo, M. A. (2008). Setting weights in multidimensional indices of well-being and deprivation. OPHI working papers, no 18, Queen Elizabeth House, University of Oxford.

  • Desai, M., & Shah, A. (1988). An econometric approach to the measurement of poverty. Oxford Economic Papers, 40(3), 505–522.

    Article  Google Scholar 

  • Duclos, J.-Y., Sahn, D. E., & Younger, S. D. (2006). Robust multidimensional poverty comparisons. Economic Journal, 116, 943–968.

    Google Scholar 

  • European Commission. (2004). Joint report by the Commission and the Council on social inclusion: Office for Official Publications of the European Communities.

  • Foster. (2007). A report on Mexican multidimensional poverty measurement. OPHI working paper, no 40.

  • Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–765.

    Article  Google Scholar 

  • Garroway, C., & De Laiglesia, J. R. (2012). On the relevance of relative poverty for developing countries. OECD development centre working papers 314, OECD Publishing.

  • Gordon, D., Nandy, S., Pantazis, C., Pemberton, S., & Townsend, P. (2003). Child poverty in the developing world. Bristol: Policy Press.

    Google Scholar 

  • Guio, A.C., Fusco, A. & Marlier, E. (2009). An European Union approach to material deprivation using EU-SILC and Eurobarometer data. IRISS working paper 2009-19, CEPS/INSTEAD, Differdange, Luxembourg.

  • Jenkins, S. P., & Lambert, P. J. (1997). Three i’s of poverty curves, with an analysis of UK poverty trends. Oxford Economic Papers, 49, 317–327.

    Article  Google Scholar 

  • Lasso de la Vega, C. (2010). Counting poverty orderings and deprivation curves. In J. A. Bishop (Ed.), Studies in applied welfare analysis: Papers from the third ECINEQ meeting, research on economic inequality (Vol. 18, pp. 153–172). Bingley: Emerald Group Publishing Limited.

    Chapter  Google Scholar 

  • Lemmi, A., & Betti, G. (2006). Fuzzy set approach to multidimensional poverty measurement. Economic studies in inequality, social exclusion and well-being. New York: Springer.

    Book  Google Scholar 

  • Peña, D. (2002). Análisis de datos multivariantes. New York: McGraw Hill.

    Google Scholar 

  • Ravallion, M., & Chen, S. (2011). Weakly relative poverty. The Review of Economics and Statistics, 93(4), 1251–1261.

    Article  Google Scholar 

  • Sen, A. (1983). Poverty, relatively speaking. Oxford Economic Papers, 44, 153–169.

    Article  Google Scholar 

  • Sen, A. K. (1985). Commodities and capabilities. Amsterdam: Elsevier.

    Google Scholar 

  • Sen, A. K. (2000). Social exclusion: Concept, application, and scrutiny (no 1). Manila: Office of Environment and Social Development, Asian Development Bank.

    Google Scholar 

  • Sen, A. (2006). Conceptualizing and measuring poverty. Poverty and Inequality, In D. Grusky and R. Kanbur (Eds.), Poverty and Inequality, pp. 30–46. Stanford, CA: Stanford University Press.

  • Silber, J. (2007). Measuring poverty: Taking a multidimensional perspective. Hacienda Pública Española, 182(3), 29–74.

    Google Scholar 

  • Townsend, P. (1979). Poverty in the United Kingdom. Harmondsworth: Penguin.

    Google Scholar 

  • Tukey, J. W. (1977). Exploratory data analysis. Reading: Addison-Wesley Publishing Co.

    Google Scholar 

  • Ura, K., Alkire, S., Zangmo, T., & Wangdi, K. (2012). An extensive analysis of the gross national happiness index. Thimphu: Centre of Bhutan Studies.

    Google Scholar 

  • Whelan, C., & B. Maître (2013). Material deprivation, economic stress and referencing groups in Europe: An analysis of EU-SILC 2009. European Sociological Review, 29(6), 1162–1174.

  • Whelan, C., & Maître, B. (2012). Understanding material deprivation in Europe: A multilevel analysis. Research in Social Stratification and Mobility, 30, 489–503.

    Article  Google Scholar 

Download references

Acknowledgments

Carmelo García acknowledges financial support from the Ministerio de Economía y Competitividad (PROYECTO ECO2014-56676-C2-2-P) and from the Comunidad de Madrid (PROYECTO S2015/HUM-3416-DEPOPOR-CM). Mercedes Prieto acknowledges financial support from the Ministerio de Economía y Competitividad (PROYECTO ECO2012-32178) and from the Comunidad de Madrid (PROYECTO S2015/HUM-3416-DEPOPOR-CM).

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Correspondence to Carmelo García-Pérez.

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García-Pérez, C., González-González, Y. & Prieto-Alaiz, M. Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data. Soc Indic Res 131, 291–303 (2017). https://doi.org/10.1007/s11205-016-1248-y

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