New multidimensional approaches to poverty measurement in Bosnia and Herzegovina

1. Alkire, S., Foster, J. (2007). Counting and Multidimensional Poverty Measurement. Oxford Poverty and Human Development Initiative. Working Paper No. 7. Available at http://www.ophi.org.uk/wp-content/uploads/OPHI-wp32.pdf [03 November 2016].Search in Google Scholar

2. Alkire, S., Foster, J. (2011). Counting and Multidimensional Poverty Measurement. Journal of Public Economics, Vol. 95, No. 7-8, pp. 476-487.10.1016/j.jpubeco.2010.11.006Search in Google Scholar

3. Alkire, S., Santos, M. E. (2011). Acute Multidimensional Poverty: A New Index for Developing Countries. Oxford Poverty and Human Development Intiative Working Paper No. 38. Available at http://www.ophi.org.uk/wp-content/uploads/OPHI-wp38_with_note.pdf [03 November 2016].Search in Google Scholar

4. Alkire, S., Santos, M. E. (2013). Measuring Acute Poverty Using the Multidimensional Poverty Index: Robust Comparisons and Future Prospects. Oxford Poverty and Human Development Intiative Working Paper No. 59. Available at http://www.ophi.org.uk/wp-content/uploads/ophi-wp-59.pdf [03 November 2016].Search in Google Scholar

5. Ambrosio, D., Deutsch, J., Silber, J. (2011). Multidimensional Approaches to Poverty Measurement: An Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain, Based on European Panel. Applied Economics, Vol. 43, No. 8, pp. 951-972.Search in Google Scholar

6. Betti, G., Cheli, B., Lemmi, A., Verma, V. (2006). On the construction of fuzzy measures for the analysis of poverty and social exclusion. Statistica & Applicazioni, Vol. 4, No. 1, pp. 77-97.Search in Google Scholar

7. Cerioli, A., Zani, S. (1990). A Fuzzy Approach to the Measurement of Poverty. In Income and Wealth Distribution, Inequality and Poverty, Dagum, C., Zenga, M. (Eds.), Springer Verlag, Berlin, pp. 272-284.10.1007/978-3-642-84250-4_18Search in Google Scholar

8. Cheli, B., Lemmi, A. (1995). A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes, Vol. 24, No. 1, pp. 115-134.Search in Google Scholar

9. Costa, M., De Angelis, L. (2008). The multidimensional measurement of poverty: a fuzzy set approach. Statistica, Vol. 68, No. 3-4, pp. 303-319.Search in Google Scholar

10. Deutsch, J., Silber, J. (2006). The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel. In Fuzzy Set Approach to Multidimensional Poverty Measurement, Lemmi, A., Betti, G. (Eds.), Springer, New York, pp. 155-174.10.1007/978-0-387-34251-1_9Search in Google Scholar

11. Kakwani, N., Silber, J. (2008). Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan UK, London.10.1057/9780230582354Search in Google Scholar

12. Lemmi, A., Betti, G. (2006). Fuzzy Set Approach to Multidimensional Poverty Measurement. Springer US, New York.10.1007/978-0-387-34251-1Search in Google Scholar

13. Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, Vol. 8, No. 3, pp. 338-353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar