In the European Union poverty has been measured indirectly in a one-dimensional way from a perspective based on disposable income. This classical approach has certain limitations when representing such a complex phenomenon by means of a single variable, reaching sometimes a modest association with regard to other direct poverty measurements such as severe material deprivation rate. In this article we study the measurement of monetary poverty from a two-dimensional point of view favouring a perspective of complementarity rather than one of substitutability. The joint analysis of the monetary income and consumption distribution makes it possible to identify different association patterns between these two variables for individuals located on one side or the other of the respective poverty thresholds. Expenditure on housing that is a determining factor in lower-income households and imputed rents that would be paid by the owner household of a dwelling, allow us to calculate an at-risk-of poverty rate which refines the link with material poverty in both temporal and spatial dimensions.
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Alkire, S., Foster, J., Serh, S., Santos, M., Roche, J., & Ballon, P. (2015). Multidimensional poverty measurement and analysis. Oxf: Univ. Press. https://doi.org/10.1093/acprof:oso/9780199689491.001.0001.
Atkinson, A. B., Guio, A.-C., & Marlière, É. (2017). Monitoring social inclusion in Europe. Brussels: Eurostat. https://doi.org/10.2785/60152.
Atkinson, A. B., & Marlier, E. (2010). Income and living conditions in Europe. Eurostat (European Commission). https://doi.org/10.2785/53320.
Attanasio, O. P., Bottazzi, R., Low, H. W., Nesheim, L., & Wakefield, M. (2012). Modelling the demand for housing over the life cycle. Review of Economic Dynamics,15, 1–18. https://doi.org/10.1016/j.red.2011.09.001.
Ayllón, S., & Gábos, A. (2017). The interrelationships between the Europe 2020 poverty and social exclusion indicators. Social Indicators Research,130, 1025–1049. https://doi.org/10.1007/s11205-015-1212-2.
Berardi, N., Sevestre, P., & Thébault, J. (2017). The determinants of consumer price dispersion: Evidence from French supermarkets. In L. Matyas (Ed.), The econometrics of multi-dimensional panels. Advanced studies in theoretical and applied econometrics (Vol. 50). Cham: Springer. https://doi.org/10.1007/978-3-319-60783-2_15.
Bramley, G. (2012). Affordability, poverty and housing need: Triangulating measures and standards. Journal of Housing and the Built Environment,27, 133–151. https://doi.org/10.1007/s10901-011-9255-4.
Chzhen, Y., de Neubourg, C., Plavgo, I., & de Milliano, M. (2016). Child poverty in the European Union: The multiple overlapping deprivation analysis approach (EU-MODA). Child Indicators Research,9, 335–356. https://doi.org/10.1007/s12187-015-9321-7.
ECB. (2016). The Household Finance and Consumption Survey: Results from the second wave. https://doi.org/10.2866/177251.
Eurostat. (2013). European system of accounts. ESA 2010. https://doi.org/10.2785/16644.
Eurostat. (2018). Handbook on the compilation of statistics on illegal economic activities in national accounts and balance of payments. Brussels: Eurostat. https://doi.org/10.2785/0256.
Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters,27, 861–874. https://doi.org/10.1016/j.patrec.2005.10.010.
Fusco, A., Guio, A., & Marlier, E. (2010). Income poverty and material deprivation in European countries. Brussels: Eurostat. https://doi.org/10.2785/1144.
García-Pérez, C., González-González, Y., & Prieto-Alaiz, M. (2016). Identifying the multidimensional poor in developed countries using relative thresholds: An application to Spanish data. Soc: Indic. Res. https://doi.org/10.1007/s11205-016-1248-y.
Guio, A.-C., Marlier, E., Gordon, D., Fahmy, E., Nandy, S., & Pomati, M. (2016). Improving the measurement of material deprivation at the European Union level. Journal of European Social Policy,26, 219–333. https://doi.org/10.1177/0958928716642947.
Haffner, M., & Heylen, K. (2011). User costs and housing expenses. Towards a more comprehensive approach to affordability. Housing Studies,26, 593–614. https://doi.org/10.1080/02673037.2011.559754.
Hand, D. J., & Till, R. J. (2001). A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning,45, 171–186. https://doi.org/10.1023/A:1010920819831.
Harness, N. J., Chatterjee, S., & Finke, M. (2008). Household financial ratios: A review of literature. Journal of Personal Finance,6, 77–97.
Jurado, A., & Pérez-Mayo, J. (2012). Construction and evolution of a multidimensional well-being index for the Spanish Regions. Soc: Indic. Res. https://doi.org/10.1007/s11205-011-9835-4.
Krumer-Nevo, M., Gorodzeisky, A., & Saar-Heiman, Y. (2017). Debt, poverty, and financial exclusion. Journal of Social Work,17, 511–530. https://doi.org/10.1177/1468017316649330.
Lee, M. P., & Sabri, M. F. (2017). Review of financial vulnerability studies. Archives of Business Research. https://doi.org/10.14738/abr.52.2784.
Lelkes, O., & Gasior, K. (2018). Income poverty in the EU: What do we actually measure? Empirical evidence on choices, underlying assumptions and implications (based on EU-SILC 2005–2014). https://doi.org/10.1007/978-3-319-65006-7_6.
Li, J. (2015). Recent trends on housing affordability research: Where are we up to? https://doi.org/10.2139/ssrn.2555439.
López-Ratón, M., Rodríguez-Álvarez, M. X., Cadarso-Suárez, C., & Gude-Sampedro, F. (2014). OptimalCutpoints: An R package for selecting optimal cutpoints in diagnostic tests. Journal of Statistical Software,61, 1–36. https://doi.org/10.18637/jss.v061.i08.
Mandrekar, J. N. (2010). Receiver operating characteristic curve in diagnostic test assessment. Journal of Thoracic Oncology,5, 1315–1316. https://doi.org/10.1097/JTO.0b013e3181ec173d.
Meyer, B. D., & Sullivan, J. X. (2017). Consumption and income inequality in the U.S. Since the 1960s. NBER. https://doi.org/10.3386/w23655.
Notten, G. (2016). How poverty indicators confound poverty reduction evaluations: The targeting performance of income transfers in Europe. Social Indicators Research,1, 1. https://doi.org/10.1007/s11205-015-0996-4.
Notten, G., & Guio, A.-C. (2018). The impact of social transfers on income poverty and material deprivation. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780190849696.003.0005.
OECD. (2013). OECD framework for statistics on the distribution of household income, consumption and wealth. Paris: OECD. https://doi.org/10.1787/9789264194830-en.
OECD. (2016). Society at a glance 2016: OECD social indicators. Paris: OECD. https://doi.org/10.1787/soc_glance-2016-17-en.
Rajmil, L., Siddiqi, A., Taylor-Robinson, D., & Spencer, N. (2015). Understanding the impact of the economic crisis on child health: the case of Spain. International Journal for Equity in Health,14, 1. https://doi.org/10.1186/s12939-015-0236-1.
Ravallion, M., & Lokshin, M. (2006). Testing poverty lines. Review of Income and Wealth. https://doi.org/10.1111/j.1475-4991.2006.00196.x.
Salcedo, A. M., & Izquierdo Llanes, G. (2017). An empirical approach to the poverty indicators based on revealed parameters: The case of Spain. Social Indicators Research,1, 1. https://doi.org/10.1007/s11205-017-1675-4.
Salcedo, A. M., & Izquierdo Llanes, G. (2018). Drawing the optimal monetary poverty lines based on empirical data: an application to Spain. Quality & Quantity. https://doi.org/10.1007/s11135-018-0766-x.
Santos, M. E., & Villatoro, P. (2018). A multidimensional poverty index for Latin America: A multidimensional poverty index for Latin America. Review of Income and Wealth,64, 52–82. https://doi.org/10.1111/roiw.12275.
Serafino, P., & Tonkin, R. (2017). Statistical matching of European Union statistics on income and living conditions (EU-SILC) and the household budget survey. Eurostat (European Commission). https://doi.org/10.2785/933460.
Stone, M. E. (2006). What is housing affordability? The case for the residual income approach. Housing Policy Debate,17, 151–184. https://doi.org/10.1080/10511482.2006.9521564.
Törmälehto, V.-M., & Sauli, H. (2013). The distributional impact of imputed rent in EU-SILC 2007–2010. Brussels: Eurostat. https://doi.org/10.2785/21725.
UNECE. (2017). Guide on poverty measurement. Available at http://www.unece.org/index.php?id=47512. Accessed 31 Aug 2018.
Verbunt, P., & Guio, A.-C. (2019). Explaining differences within and between countries in the risk of income poverty and severe material deprivation: Comparing single and multilevel analyses. Social Indicators Research. https://doi.org/10.1007/s11205-018-2021-1.
Yang, L. (2018). The net effect of housing-related costs and advantages on the relationship between inequality and poverty. CASE Papers. Centre for Analysis of Social Exclusion LSE. http://sticerd.lse.ac.uk/dps/case/cp/casepaper211.pdf. Accessed 3 Feb 2019.
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Salcedo, A.M., Izquierdo Llanes, G. Refining the Monetary Poverty Indicators Under a Join Income-Consumption Statistical Approach: An Application to Spain Based on Empirical Data. Soc Indic Res 147, 501–516 (2020) doi:10.1007/s11205-019-02159-z
- At-risk-of poverty
- Material deprivation
- Disposable income
- Residual income