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Inequality among the poor in poverty measure case of Tunisia (2005–2010)

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Abstract

Poverty and inequality are inextricably linked. That’s because poverty is a relationship between poor people and the society in which they live. The analysis of income inequality and poverty are well established research fields in the economic literature (e.g., Atkinson in Top incomes: a global perspective. Oxford University Press, Oxford, 2010). The present paper contributes to this line of research by proposing, using fuzzy set theory, a new integrated method for measurement unidimensional poverty via the inequality. An application using individual well-being data from Tunisia households in 2005 and 2010 is presented. Implications of findings and policies that would reduce socio-economic inequalities in order to improve population wellbeing are deduced.

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References

  1. Alkire, S., Foster, J.: Counting and multidimensional poverty measurement. J. Public Econ. 95(7–8), 476–487 (2011)

    Article  Google Scholar 

  2. Alkire, S., Roche, J., Seth, S.: Sub-national Disparities and Inter-temporal Evolution of Multidimensional Poverty Across Developing Countries (OPHI Research in Progress 32a). Oxford Poverty and Human Development Initiative, University of Oxford, Oxford (2011)

    Google Scholar 

  3. Atkinson, A., Piketty, T.: Top Incomes: A Global Perspective. Oxford University Press, Oxford (2010)

    Google Scholar 

  4. Bach, S., Corneo, G., Steiner, V.: From bottom to top: the entire income distribution in Germany, 1992–2003. Rev. Income Wealth 55, 303–330 (2009)

    Article  Google Scholar 

  5. Belhadj, B.: A new fuzzy unidimensional poverty index from an information theory perspective. Empir. Econ. 40(3), 687–704 (2011)

    Article  Google Scholar 

  6. Belhadj, B.: New fuzzy indices of poverty by distinguishing three levels of poverty. Res. Econ. 65(3), 221–231 (2011)

    Article  Google Scholar 

  7. Belhadj, B., Limam, M.: Unidimensional and multidimensional fuzzy poverty measures: new approach. Econ. Model. 29, 995–1002 (2012)

    Article  Google Scholar 

  8. Belhadj, B.: Employment measure in developing countries via minimum wage and poverty New Fuzzy Approach. OPSEARCH J. Oper. Res. Soc. India 52(2), 329–339 (2015)

    Google Scholar 

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

    Google Scholar 

  10. Betti, G., Cheli, B., Lemmi, A., Verma, V.: Multidimensional and longitudinal poverty: an integrated fuzzy approach. In: Lemmi, A., Betti, G. (eds.) Fuzzy Set Approach to Multidimensional Poverty Measurement, pp. 111–137. Springer, New York (2006)

    Google Scholar 

  11. Betti, G., Verma, V.: Fuzzy measures of the incidence of relative poverty and deprivation: a multi-dimensional perspective. Stat. Methods Appl. 17, 225–250 (2008)

    Article  Google Scholar 

  12. Betti, G., Gagliardi, F., Lemmi, A., Verma, V.: Comparative measures of multidimensional deprivation in the European Union. Empir. Econ. (2015). doi:10.1007/s00181-014-0904-9

    Google Scholar 

  13. Bezdek, J.C.: Fuzzy partitions and relations and axiomatic basis for clustering. Fuzzy Sets Syst. 1, 111–127 (1978)

    Article  Google Scholar 

  14. Bossert, W., Chakravarty, S., D’Ambrosio, D.: Multidimensional Poverty and Material Deprivation, Working Papers 129. ECINEQ, Society for the Study of Economic Inequality (2009)

  15. Bourguignon, F., Chakravarty, S.R.: The measurement of multidimensional poverty. J. Econ. Inequal. 1, 25–49 (2003)

    Article  Google Scholar 

  16. Cerioli, A., Zani, S.: A fuzzy approach to the measurement of poverty. In: Dagum, C., Zenga, M. (eds.) Income and wealth distribution, inequality and poverty, studies in contemporary, economics, pp. 272–284. Sringer, Berlin (1990)

    Chapter  Google Scholar 

  17. Chakravarty, S.R., Mukherjee, D., Ranade, R.R.: On the family of subgroup and factor decomposable measures of multidimensional poverty. Res. Econ. Inequal. 8, 175–194 (1998)

    Google Scholar 

  18. Chakravarty, S.: Street smarts, book smarts—personal finance through facts, fiction, and conversation, XanEdu, pp. 337 (2011)

  19. Cheli, B.: Totally fuzzy and relative measures in dynamics context. Metron 53(3/4), 83–205 (1995)

    Google Scholar 

  20. Cheli, B., Lemmi, A.: Totally fuzzy and relative approach to the multidimensional analysis of poverty. Econ. Notes 24, 115–134 (1995)

    Google Scholar 

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

    Google Scholar 

  22. Chiappero Martinetti E (1994) A new approach to evaluation of well-being and poverty by fuzzy set theory, Giornale degli Economisti e Annali di Economia, pp. 367–387

  23. Dagum, C., Gambassi, R., Lemmi, A.: New approaches to the measurement of poverty. In: Poverty Measurement for Economics in Transition, Polish statistical Association & Central Statistical office, Warsaw, pp. 201–226 (1992)

  24. De Cock, M., Bodenhofer, U., Kerre E.: Modelling linguistic expressions using fuzzy relations. In: Proceedings 6th International Conference on Soft Computing. Iizuka 2000, Iizuka, Japan CDROM, pp. 353–360 (2000)

  25. Foster, J., Greer, J., Thorbecke, E.: A class of decomposable poverty measures. Econometrica 52, 761–765 (1984)

    Article  Google Scholar 

  26. Giordani, P., Giorgi, G.M.: A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices. Stat. Methods Appl. 19(4), 587–607 (2010)

    Article  Google Scholar 

  27. Jayaraj, D., Subramanian, S.: A Chakravarty–D'Ambrosio view of multidimensional deprivation: some estimates for India. Econ. Polit. Weekly 45(6), 53–65 (2009)

    Google Scholar 

  28. Jenkins, S.P., Lambert, P.J.: Three I’s of poverty curves, with an analysis of UK poverty trends. Oxford Economics Papers 49, 317–327 (1997)

    Article  Google Scholar 

  29. Kaufmann, A., Gupta, M.M.: Introduction to Fuzzy Arithmetic. International Thomson Computer Press, Boston (1991)

    Google Scholar 

  30. Kolm, S.C.: Multidimensional egalitarianisms. Q. J. Econ. 91, 1–13 (1977)

    Article  Google Scholar 

  31. Kuzmin, V.B.: Building Group Decisions in Spaces of Strict and Fuzzy Binary Relations. Nauka, Moscow (1982)

    Google Scholar 

  32. Maasoumi, E., Lugo, M.A.: The information basis of multivariate poverty assessments. In: Kakwani, N., Silber, J. (eds.) Quantitative Approaches to Multidimensional Poverty Measurement, pp. 1–29. MacMillan, New York (2008)

    Chapter  Google Scholar 

  33. Piketty, T.: Top income shares in the long run: an overview. J. Eur. Econ. Assoc. 3, 382–392 (2005)

    Article  Google Scholar 

  34. Piketty, T., Saez, E.: The evolution of top incomes: a historical and international perspective. Am. Econ. Rev. Papers Proc. 96, 200–205 (2006)

    Article  Google Scholar 

  35. Ravallion, M., Bidani, B.: How robust is a poverty profile? World Bank Econ. Rev. (1994)

  36. Rippin, N.: A response to the weaknesses of the multidimensional poverty index (MPI): The Correlation Sensitive Poverty Index (CSPI), DIE Briefing Paper 19/2011 (2011)

  37. Roche, J.M.: Monitoring progress in child poverty reduction: methodological insights and illustration to the case study of Bangladesh. J. Soc. Indic. Res. 112(2), 363–390 (2013)

    Article  Google Scholar 

  38. Roine, J., Waldenström, J.: The evolution of top incomes on an egalitarian society: Sweden, 1903–2004. J. Public Econ. 92, 366–387 (2008)

    Article  Google Scholar 

  39. Saez, E., Veall, M.: The evolution of high incomes in Northern America: lessons from Canadian Evidence. Am. Econ. Rev. 95, 831–849 (2005)

    Article  Google Scholar 

  40. Sen, K.: Poverty: an ordinal approach to measurement. Economica 44, 219–231 (1976)

    Article  Google Scholar 

  41. Stewart, F.: Horizontal inequalities: a neglected dimension of development, QEH Working Paper No. 81. Oxford: Queen Elizabeth House, University of Oxford (2002)

  42. Tobias, J.A., Seddon, N.: Signal design and perception in hypoc-nemis antbirds: evidence of convergent evolution via social selection. Evolution 63, 3168–3189 (2009)

    Article  Google Scholar 

  43. Tunisian National Institute of Statistics: Enquête sur le budget et la consommation des ménages en Tunisie. Ministère du plan, Tunis (2005)

    Google Scholar 

  44. Tunisian National Institute of Statistics: Enquête sur le budget et la consommation des ménages en Tunisie. Ministère du plan, Tunis (2010)

    Google Scholar 

  45. Wodon, Q.: Growth, Poverty and Inequality: A Regional Panel for Bangladesh. World Bank, Washington (1999)

    Book  Google Scholar 

  46. Woodward, A., Kawachi, I.: Why reduce health inequalities? J. Epidemiol. Community Health 54, 923–929 (2000)

    Article  Google Scholar 

  47. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  48. Zedini, A., Belhadj, B.: A new approach to unidimensional poverty analysis: application to the Tunisian Case. Rev. Income Wealth 61(3), 465–476 (2015)

    Article  Google Scholar 

  49. Zheng, B.: Aggregate poverty measures. J. Econ. Surv. 11, 123–162 (1997)

    Article  Google Scholar 

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  1. SOIE, FSEGN, University of Carthage, Tunis, Tunisia

    Belhadj Besma

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Besma, B. Inequality among the poor in poverty measure case of Tunisia (2005–2010). OPSEARCH 53, 409–425 (2016). https://doi.org/10.1007/s12597-016-0268-3

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