Economic poverty and inequality at regional level in Malta: Focus on the situation of children

Authors

  • Gianni Betti University of Siena
  • Etienne Caruana National Statistics Office
  • Sarah Gusman National Statistics Office
  • Laura Neri University of Siena

DOI:

https://doi.org/10.17059/2015-3-10

Keywords:

economic poverty mapping among children, Malta, sampling strategies on economic surveys

Abstract

This paper performs an economic poverty and inequality mapping of three children age categories in Malta; it consists in the first attempt based on income from the EU-SILC survey and Census data. From a policy-making point of view, the availability of such key economic indicators at locality level certainly provides a valuable tool in assessing the effectiveness of national strategies and in identifying areas that need to be targeted by new policies; in fact sample surveys alone cannot provide reliable information at such a fine level of detail, while national censuses are not designed to and cannot be extended to cover specific topics such as economic poverty and inequality. Thus, the merging of the two sources provides policy-makers with a new insight into the differences between localities. There are also benefits of a technical nature, particularly in terms of sampling strategies, that can be derived from this study. Through such an exercise it is possible to identify economic homogeneity and/or heterogeneity among households with children in different localities: this is useful when defining strata for sampling design for surveys aiming at studying other economic phenomena relating to children.

Author Biographies

Gianni Betti , University of Siena

PhD in Applied Statistic, Associate Professor, Department of Statistics and Economics, University of Siena (7, Piazza S. Francesco, Siena, 53100, Italy; e-mail: Gianni.betti@unisi.it).

Etienne Caruana , National Statistics Office

MSc in Statistics & Operations Research, Director of Social Statistics, National Statistics Office (Lascaris, Valletta VLT 2000, Malta; e-mail: carue006@gmail.com).

Sarah Gusman , National Statistics Office

MSc in Statistics, Principal Statistician, National Statistics Office (Lascaris, Valletta, Malta; e-mail: gusman.sarah@gmail.com).

Laura Neri , University of Siena

PhD in Applied Statistic, Assistant Professor in Statistics and Economics, Department of Economics and Statistics, University of Siena (7, Piazza S. Francesco, Siena, 53100, Italy; e-mail: laura.neri@unisi.it).

References

Elbers, C., Lanjouw, J. O. & Lanjouw, P. (2003). Micro-level Estimation of Poverty and Inequality. Econometrica, 71, 335-364.

NSO. (2007, July). Census of Population and Housing 2005.

NSO. (2006, December). EU-SILC 2005 Final Quality Report.

Neri, L., Ballini, F. & Betti, G. (2005). Poverty and inequality mapping in transition countries. Statistics in Transition, 7(1), 135-157.

Elbers, C., Lanjouw, J. O. & Lanjouw, P (2002). Micro-level Estimation of Welfare. Working Paper No 2911. The World Bank, Washington, D.C.

Demombynes, G., Lanjouw, J. O., Lanjouw, P & Elbers, C. (2006). How good a map? Putting Small Area Estimation to the Test. Policy Research Working Paper No. 40155. The World Bank.

Betti, G., Gagliardi, F., Lemmi, A. & Verma, V. (2012). Sub-national indicators of poverty and deprivation in Europe: methodology and applications. Cambridge Journal of Regions, Economy and Society, 5(1), 149-162.

Atkinson, A. B. & Bourguignon, F. (1982). The comparison of multidimensional distributions of economic status. Review of Economic Studies, 49, 183-201.

Tsui, K. (1985). Multidimensional generalisation of the relative and absolute inequality indices: the Atkinson-Kolm-Sen approach. Journal of Economic Theory, 67, 251-265.

Maasoumi, E. (1986). The measurement and decomposition of multidimensional inequality. Econometrica, 54, 771-779.

Anand, S. & Sen, A. K. (1997), Concepts of human development and poverty: a multidimensional perspective. Human Development Papers, United Nations Development Programme (UNDP), New York.

Sen, A. K. (1999). Development as freedom. Oxford University Press, Oxford.

Duclos, J.-Y., Sahn, D. & Younger, S. D. (2001). Robust multidimensional poverty comparisons. Canada: Universite Laval.

Atkinson, A. B., Cantillon, B., Marlier, E. & Nolan, B. (2002). Social Indicators: The EU and Social Inclusion. Oxford: Oxford University Press.

Atkinson, A. B. (2003). Multidimensional deprivation: contrasting social welfare and counting approaches. Journal of Economic Inequality, 1, 51-65.

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

Cerioli, A. & Zani, S. (1990). A fuzzy approach to the measurement of poverty. In: Dagum C. and Zenga M. (Eds). Income and wealth distribution, inequality and poverty. Berlin: Springer Verlag, 272-284.

Cheli, B. & Lemmi, A. (1995). A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes, 24, 115-134.

Cheli, B. & Betti, G. (1999). Fuzzy analysis of poverty dynamics on an Italian pseudo panel, 1985-1994. Metron, 57, 83-104.

Betti, G., Cheli, B. & Cambini, R. (2004). A statistical model for the dynamics between two fuzzy states: theory and application to poverty analysis, Metron, 62(3), 391-411.

Belhadj, B. (2011). A new fuzzy unidimensional poverty index from an information theory perspective. Empirical Economics, 40(3), 687-704.

Belhadj, B. (2012). New weighting scheme for the dimensions in multidimensional poverty indices. Economic Letters, 116(3), 304-307.

Belhadj, B. & Limam, M. (2012). Unidimensional and multidimensional fuzzy poverty measures: New approach. Economic Modelling, 29(4), 995-1002.

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Published

21.09.2015

How to Cite

Betti , G., Caruana , E., Gusman , S., & Neri , L. (2015). Economic poverty and inequality at regional level in Malta: Focus on the situation of children. Economy of Regions, 11(3), 114–122. https://doi.org/10.17059/2015-3-10

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Section

Research articles