Abstract
This paper offers an updated picture of the nature of deprivation in old age in Latin America, as well as an analysis of its different dimensions. Based on harmonized cross-sectional social protection surveys for Chile, Colombia, Paraguay, El Salvador, and Uruguay we estimate and compare multidimensional poverty indices for older adults. We consider the following dimensions: housing, health, labor and social security, and education. Our results illustrate the disparities in multidimensional poverty of the older people across the region. We also provide original evidence about deprivations in health that go beyond health coverage and underline the importance of Social security at older ages. The general picture indicates that Housing is the dimension with lower deprivation rates, whereas Health presents the higher levels of deprivation. Chile and Uruguay stand out for their relatively good performance in Labor and Social Security.
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Data used in this paper can be downloaded from https://mydata.iadb.org/Labor/Harmonized-LSPS-Longitudinal-Social-Protection-Sur/ck3a-ui6v.
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Notes
A different approach is presented by Gasparini et al. (2010), who consider monetary poverty among the older people. They find, based on cross country regressions, a significant negative relationship between relative old age poverty (compared to other ages) and the development of the pension system.
The proposal of Alkire y Foster (2007) is more general, and generates a unique class of poverty measures (Mα), based on Foster, Greer and Thorbecke (FGT) poverty measures. These measures include not only the adjusted headcount ratio (M0), but also the Adjusted Poverty Gap (M1) and the Adjusted Squared Poverty Gap (M2). These last two measures are not calculated in this article.
The approach of the Unsatisfied Basic Needs (UBN) developed by ECLAC (United Nations) in the 80 s included these dimensions (see Feres and Mancero, 2001).
Over 10 per cent of income data is missing in all countries and the figures are significantly higher for Chile and Colombia. This problem intensifies for the older people in every country.
In Chile, retirement age is 65 for men and 60 for women, whereas in Uruguay and Paraguay it is set at 60 for both sexes. In Colombia, the age limit is set only in the public scheme, being 62 for men and 57 for women. Finally, in El Salvador, workers can retire once they have reached 60 (men) or 55 years old (women). However, in Latin America retirement age is not a sharp restriction to employment, especially in the informal sector.
Despite of its name, the harmonized LSPS only provides longitudinal data for Chile. The second wave of the Uruguayan survey was released recently but is not included in the harmonized dataset. In this study, a cross sectional approach was followed, considering only one dataset for each country.
The selection of the respondent was based on administrative registers in Chile, it was random in El Salvador, Paraguay and Uruguay, and in Colombia, all members of the household aged 10 or more were interviewed. Methodological details about this data base can be found in https://publications.iadb.org/en/publication/12803/database-and-related-documents-lsps-longitudinal-social-protection-survey.
These estimates are based on ECLAC absolute poverty lines (see ECLAC, 2018) and calculated using household surveys. Results based on national poverty lines display a similar pattern.
According to CEPALSTAT (web portal that provides access to statistics and indicators for Latin American countries, elaborated by ECLAC, United Nations), the probability of living in rural areas is between 1 and 4 higher for men in the countries considered in this study. Information disaggregated by age is not available.
The programs included are Pensión Básica Solidaria in Chile, Pensión Básica Universal for El Salvador, Pensión Alimentaria para Adultos Mayores in Paraguay, and disability, old-age, and widow’s pensions in Uruguay.
References
Alkire, S., & Foster, J., (2007). Counting and Multidimensional Poverty Measurement. OPHI Working Paper 7, Oxford University.
Alkire, S., & Foster, J. (2011). Understandings and misunderstandings of multidimensional poverty measurement. Journal of Economic Inequality, 9, 289–314. https://doi.org/10.1007/s10888-011-9181-4
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. https://doi.org/10.1016/j.worlddev.2014.01.026
Alkire, S., Foster, J., Seth, S., Santos, M. E., Roche, J. M., & Balon, P. (2015). Multidimensional poverty measurement and analysis. Oxford University Press.
Bando, R., Galiani, S., & Gertler, P. J. (2017). The effects of non-contributory pensions on material and subjective well-being. IDB Working Paper Series. (No. IDB-WP-840).
Barrientos, A., Gorman, M., & Heslop, A. (2003). Old age poverty in developing countries: contributions and dependence in later life. World Development, 31(3), 555–570. https://doi.org/10.1016/S0305-750X(02)00211-5
Barrientos, A., & Lasso de la Vega, C. (2011). Assessing wellbeing and deprivation in later life: A multidimensional counting approach. Brooks World Poverty Institute Working Paper Series 15111, BWPI, The University of Manchester.
Bloom, D., Canning, D., & Malaney, P. (2000). Demographic change and economic growth in Asia. Population and Development Review, 26, 257–290.
Bloom, D., Canning, D., & Graham, B. (2003). Longevity and life cycle savings. The Scandinavian Journal of Economics, 105(3), 319–338.
Bloom, D. E., Canning, D., & Fink, G. (2010). Implications of population ageing for economic growth. Oxford Review of Economic Policy, 26(4), 583–612. https://doi.org/10.1093/oxrep/grq038
Bosch, M., Melguizo, A., & Pagés, C. (2013). Better pensions better jobs. Towards universal coverage in Latin America and the Caribbean. Inter-American Development Bank, Washington D.C
Bowling, A., & Gabriel, Z. (2004). An integrational model of quality of life in older age. A comparison of analytic and lay models of quality of life. Social Indicators Research, 69, 1–36. https://doi.org/10.1023/B:SOCI.0000032656.01524.07
Bowling, A., Banister, D., Sutton, S., Evans, O., & Windsor, J. (2002). A multidimensional model of the quality of life in older age. Aging Mental Health, 6(4), 355–371. https://doi.org/10.1080/1360786021000006983
Callander, E. J., Schofield, D. J., & Shrestha, R. N. (2012). Multiple disadvantages among older citizens: What a multidimensional measure of poverty can show. Journal of Aging & Social Policy, 24(4), 368–383. https://doi.org/10.1080/08959420.2012.735177
Dhongde, S. (2017). Assessing multidimensional deprivation among the elderly in the USA. In R. White (Ed.), Measuring Multidimensional Poverty and Deprivation (pp. 255–270). Springer International Publishing.
ECLAC (2018). Medición de la pobreza por ingresos: actualización metodológica y resultados. Serie Metodologías de la CEPAL, N° 2 Santiago de Chile.
Feres, J., & Mancero, X. (2001). Enfoques para la medición de la pobreza: Breve revisión de la literatura. Serie Estudios Estadísticos y Prospectivos 4. CEPAL, Santiago de Chile.
Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766. https://doi.org/10.2307/1913475
Galiani, S., Gertler, P., & Bando, R. (2016). Non-contributory pensions. Labour Economics, 38, 47–58. https://doi.org/10.1016/j.labeco.2015.11.003
Gasparini, L., Alejo, J., Haimovich, F., Olivieri, S., & Tornarolli, L. (2010). Poverty among older people in Latin America and the Caribbean. Journal of International Development, 22(2), 176–207. https://doi.org/10.1002/jid.1539
Huenchuan, S. (2009). Envejecimiento, derechos humanos y políticas públicas. Serie Libros de la CEPAL, Nro. 100. CEPAL, Santiago de Chile.
Lugo, M. A. (2007). Employment: A proposal for internationally comparable indicators. Oxford Development Studies, 35(4), 361–378. https://doi.org/10.1080/13600810701701889
Mitra, S. (2006). The capability approach and disability. Journal of Disability Policy Studies., 16(4), 236–247. https://doi.org/10.1177/10442073060160040501
Olivera, J., & Tournier, I. (2016). Successful ageing and multidimensional poverty: The case of Peru. Ageing and Society, 36(8), 1690–1714. https://doi.org/10.1017/S0144686X15000665
Olivera, J., & Zuluaga, B. (2014). The effects of non-contributory pensions in Colombia and Peru. International Development, 26(7), 949–973. https://doi.org/10.1002/jid.3008
Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 31(3), 555–570. https://doi.org/10.1007/s10888-011-9173-4
Rofman, R., & Oliveri, M. L. (2012). Pension coverage in Latin America: Trends and determinants. Social protection and labor. Discussion Paper Nº 1217.
Rofman, R., Apella, I., & Vezza, E. (2015). Beyond contributory pensions: Fourteen experiences with coverage expansion in Latin America. Directions in Development. Human Development. Washington D.C, World Bank.
Santos, M. E., & Villatoro, P. (2018). A multidimensional poverty index for Latin America. Review of Income and Wealth, 64(1), 52–82. https://doi.org/10.1111/roiw.12275
Santos, M. E. (2014). Measuring multidimensional poverty in Latin America: Previous experience and the way forward. OPHI Working Papers 66, Oxford: University of Oxford.
Sehnbruch, K., González, P., Apablaza, M., Méndez, R., & Arriagada, V. (2020). The quality of employment in nine Latin American countries: A multidimensional perspective. World Development. https://doi.org/10.1016/j.worlddev.2019.104738
Sen, A. (1985). Commodities and Capabilities. Amsterdam: North E. Holland.
Sen, A. (1999). Development as freedom (1st ed.). Oxford University Press.
Solaymani, S., Vaghefi, N., & Kari, F. (2018). The multidimensional poverty measure among Malaysian employee provident fund (EPF) retirees. Applied Research in Quality of Life, 14(5), 1353–1371. https://doi.org/10.1007/s11482-018-9658-4
Terzi, L. (2005). Beyond the dilemma of difference: The capability approach to disability and special educational needs. Journal of Philosophy of Education, 39(3), 443–459. https://doi.org/10.1111/j.1467-9752.2005.00447.x
UNDP & OPHI. (2019). How to Build a National Multidimensional Poverty Index (MPI): Using the MPI to inform the SDGs. United Nations Development Programme.
United Nations (2015). World Population Ageing. Department of Economic and Social Affairs Population Division, United Nations.
Vanore, M., Siegel, M., Gassman, F., & Waidler, J. (2018). Adult Child migration and elderly multidimensional well-being: Comparative analysis between Moldova and Georgia. Research on Aging, 40(7), 599–622. https://doi.org/10.1177/0164027517723077
Waidler, J., Vanore, M., Gassman, F., & Siegel, M. (2018). Migration and the multi-dimensional well-being of elderly persons in Georgia. Journal of Population Ageing, 11(3), 217–238. https://doi.org/10.1007/s12062-017-9176-4
Weidel, T. (2017). Moving towards a capability for meaningful labor. Journal of Human Development and Capabilities, 19(1), 70–88. https://doi.org/10.1080/19452829.2017.1408575
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This paper received funding from Inter-American Development Bank (IDB) and the Inter-American Conference on Social Security (CISS) project for the use of the Longitudinal Social Protection Survey (LSPS).
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All authors contributed to the study conception and methodology design. Data analysis was performed by Maira Colacce. The first draft of the manuscript was written by Verónica Amarnte and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Amarante, V., Colacce, M. Multidimensional Poverty Among Older People in Five Latin American Countries. Soc Indic Res 159, 945–965 (2022). https://doi.org/10.1007/s11205-021-02782-9
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DOI: https://doi.org/10.1007/s11205-021-02782-9