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IJSTR >> Volume 5 - Issue 4, April 2016 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Fuzzy Version Of The Jalan-Ravallion Approach: Evidence From Tunisia

[Full Text]

 

AUTHOR(S)

Amal Jmaii, Besma Belhadj

 

KEYWORDS

Chronic poverty, Fuzzy set approach, Membership function, Transient poverty, Tunisia

 

ABSTRACT

Based on the recent literature, the present paper offers a new methodology to analyze poverty dynamics components. Building on the fuzzy subset theory, the aim of this study is to make available a new replay to the traditional Jalan-Ravallion approach by proposing new measures for chronic, transient and persistent poverty and provide new measure of observed poverty for each attribute. This paper proposes a new method using a membership function and fuzzy rules to identify to what extent individuals can be considered as poor/non-poor. According to the proposed membership function, a relative fuzzy index are adopted to compute an aggregation method of fuzzy individual poverty. The empirical assessment has been conducted using data of the Tunisian household survey from 2005 to 2010 and has been given arise to some potential policy recommendations through the fuzzy estimation results.

 

REFERENCES

[1] M. J. Bane and D. T. Ellwood, “Slipping into and out of poverty: The dynamics of spells”, The Journal of Human Resources, vol.1, no 21, pp. 1–23, 1986.

[2] B. Belhadj, ‘’Seuil relatif, mesure floue de la pauvreté. Nouvelles propositions’’, Ethics and Economics, vol. 1, no 10, pp. 153-172. 2013.

[3] B. Belhadj, ‘’A new fuzzy poverty index by distinguishing three levels of poverty’’, Research in Economics, vol. 3 no 65, pp. 221-231. 2011.

[4] B. Cheli, ‘’Totally fuzzy and relative measures of poverty in dynamic context: An application to the British Household Panel Survey, 1991-1992’’, ESRC Research Centre on Micro-Social Change, Universisty of Essex, 1995.

[5] G. Betti, and V. K. Verma, ‘’Measuring the degree of poverty in a dynamic and comparative context: a multi-dimensional approach using fuzzy set theory’’, ICCS-VI , Vol. 11, p. 289. 1999.

[6] G. Betti, B. Cheli, and R. Cambini, ‘’A statistical model for the dynamics between two fuzzy states’’, theory and application to poverty analysis, Metron. vol 3, no 62, pp. 391-411. 2004.

[7] G. Betti, B. Cheli, and V. Verma, ‘’On longitudinal analysis of poverty conceptualized as a fuzzy state””. Working paper series, ECINEQ WP, vol.32. 2006.

[8] A. Chatterjee, S. Mukherjee, and S. Kar, ‘’Poverty level of households : A multidimensional approach based on fuzzy mathematics’’, Fuzzy Information and Engineering, vol.6 no. 4, pp. 463-487. 2014.

[9] S. Chaudhuri, Assessing vulnerability to poverty: concepts, empirical methods and illustrative examples. Department of Economics Columbia University, http://info. worldbank. org/etools/docs/library/97185 /Keny_0304/Ke_0304/vulnerabilityassessment. 2003.

[10] J. Duclos, Y. Araar and J. Giles, ‘’Chronic and transient poverty: Measurement and estimation, with evidence from China’’. Journal of Development Economics, vol. 91, no 2, pp. 266-277. 2010.

[11] J. Foster, J. Greer, and E. Thorbecke, ‘’A class of decomposable poverty measures’’, Journal of the Econometric Society, pp. 761–766. 1984.

[12] J. Gibson, ‘’Measuring chronic poverty without a panel’’. Journal of Development Economics, vol. 65 no 2, pp. 243–266. 2001.

[13] D. Hulme and A. McKay, ‘’Identifying and measuring chronic poverty: Beyond monetary measures’’, Chronic Poverty Research Centre Working Paper, no 30. 2005.

[14] J. Jalan and M. Ravallion , ‘’Transient poverty in postreform rural china’’, Journal of Comparative Economics, vol 26, no. 2, pp. 338–357. 1998.

[15] J. Jalan, and M.. Ravallion, ‘’Is transient poverty different? Evidence for rural China’’. Journal of Development Studies, 36(6), 82-99. 2000.

[16] T. Kurosaki, ‘’the measurement of transient poverty: Theory and application to Pakistan’’. Journal of Economic Inequality, vol. 4, no 3, pp. 325-345. 2006.

[17] A. K. Mehta and A. Shah, ‘’Chronic poverty in india: overview study’’. Chronic Poverty Research Centre Working Paper (7). 2001.

[18] A. Sen, ‘’Poverty: an ordinal approach to measurement”, Journal of the Econometric Society, pp. 219–231. 1976

[19] , J. Okidi, G. Bahiigwa, and G. Kempaka, ‘’Costing the Millennium Development Goals: Uganda Country Study’’. Economic Policy Research Centre. 2002.

[20] A. H. Stevens, ‘’the dynamics of poverty spells: updating bane and ellwood’’, The American Economic Review, pp.34–37. 1994.

[21] A. H. Stevens, ‘’Measuring the persistence of poverty over multiple spells: Climbing out of poverty falling back’’, Journal of Human Resources, vol. 34, no.3, pp. 557–588. 1999.

[22] A. Suryahadi, and S. Sumarto, ‘’Poverty and vulnerability in Indonesia before and after the economic crisis’’. Asian Economic Journal, vol. 17, no 1, pp. 45–64. 2003.

[23] G. Wan and Y. Zhang, ‘’Chronic and transient poverty in rural China’’. Economics Letters, vol. 119, no 3, pp. 284-286. 2013.