A note on the weighting of the mexican social deprivation index

  • Hada Melissa Sáenz Vela Universidad Autónoma de Coahuila
  • Luis Gutiérrez Flores Universidad Autónoma de Coahuila
  • Enrique Eliseo Minor Campa Consejo Nacional de Evaluación de la Política de Desarrollo Social
Keywords: social entitlements, weighting, principal components
JEL Classification: C02, C15, I31, I32

Abstract

In Mexico, multidimensional poverty measures incorporate indicators of income and social entitlements. For the latter, the Social Deprivation Index consists of an equally weighted sum of six dichotomous variables showing the deprivations suffered by each individual. In this paper, a principle component analysis is carried out in order to verify if the current index requires a statisticalmodification. Redundancy is detected among the variables associated with health services and housing services. We conclude that by redefining some of the variables included in the index and readjusting the weighting would help to significantly improve this measure of multidimensional poverty.

References

Alkire, S., J. Foster, S. Seth, M. Santos, J. Roche y P. Ballón. 2015. Multidimensional poverty measurement and analysis, Oxford, Oxford University Press.

Alkire, S. y J. Foster. 2011. Counting and multidimensional poverty measurement, Journal of Public Economics, 95(7): 476-487.

Alkire, S. y M. Santos. 2014. Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index, World Development, 59: 251-274.

Babamoradi, H., F. van der Berg y A. Rinnan. 2013. Bootstrap based condence limits in principal component analysis: A case study, Chemometrics and Intelligent Laboratory Systems, 120: 97-105.

Battiston, D., G. Cruces, L. López-Calva, M. Lugo y M. Santos. 2009. Income and beyond: Multidimensional poverty in six Latin American countries, OPHI Working Paper, núm. 17, <www.ophi.org.uk/wp-content/uploads/OPHI-wp17.pdf>.

Bautista Arredondo, S., E. Servían Mori, A. Colchero, B. Ramírez Rodríguez y S. Sosa Rubí. 2014. Análisis del uso de servicios ambulatorios curativos en el contexto de la reforma para la protección universal en salud en México, Salud Pública de México, 56(1): 18-31.

Chernick, M. 2008. Bootstrap methods: A guide for practitioners and researchers, Nueva Jersey, John Wiley and Sons.

Coneval. 2009. Metodología para la medición multidimensional de la pobreza en México, 1a. edición, México, Coneval.

Davison, A. y D. Hinkley. 1997. Bootstrap methods and their application, Reino Unido, Cambridge University Press.

Decanq, K. y M. Lugo. 2013. Weights in multidimensional indices of wellbeing: An overview, Econometric Reviews, 32(1): 7-34.

Efron, B. y R. Tibshirani. 1993. An introduction to the bootstrap, Países Bajos, Springer Science Business Media.

Filmer, D. y L. Pritchett. 2001. Estimating wealth effects without expenditure data or tears: An application to educational enrollments in states of India, Demography, 38(1): 115-132.

Foster, J. 2010. Informe sobre la medición multidimensional, en: M. Mora (comp.), Medición multidimensional de la pobreza en México, El Colegio de México, Coneval, México.

Kolenikov, S. y G. Angeles. 2009. Socioeconomic status measurement with discrete proxy variables: Is principal component analysis a reliable answer?, The Review of Income and Wealth, 55(1): 128-165.

Moser, C. y A. Felton. 2009. The construction of an asset index: Measuring asset accumulation in Ecuador, en: T. Addison, D. Hulme y R. Kanbur (eds.), Poverty dinamics, Interdisciplinary Perspectives, Oxford University Press.

Peña, D. 2002. Análisis de datos multivariantes, McGraw-Hill, España.

Pérez, C. 2004. Técnicas de análisis multivariante de datos. Aplicaciones con SPSS, Pearson Prentice Hall, España.

Ram, R. 1982. Composite indices of physical quality of life, basic needs fulfillment, and income. A principal component representation, Journal of Development Economics, 11(2): 227-247.

Saenz, H., L. Gutiérrez y E. Minor. 2016. Relación entre el ingreso y los derechos sociales: estimación de micro-regresiones para México 2012, Investigación Económica, 75(296): 133-161

Sheskin, D. 2004. Handbook of parametric and nonparametric statistical procedures, Chapman and Hall CRC, Estados Unidos.

Timmerman, M., H. Kiers y A. Smilde. 2007. Estimating confidence intervals for principal component loadings: A comparison between the bootstrap and asymptotic results, British Journal of Mathematical and Statistical Psychology, 60(2): 295-314.

Ward, P. 2014. Measuring the level and inequality of wealth: An application to China, The Review of Income and Wealth, 60(4): 613-635.

Published
01-07-2018
How to Cite
Sáenz VelaH., Gutiérrez FloresL., & Minor CampaE. (2018). A note on the weighting of the mexican social deprivation index. Estudios Económicos, 33(2), 313-331. https://doi.org/10.24201/ee.v33i2.361
  • Abstract viewed - 352 times
  • PDF (Spanish) downloaded - 22 times
  • XML (Spanish) downloaded - 0 times