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Majumder, Amlan
- An Appraisal of the Pro Transfer-Sensitive Measures of Economic Inequality with Left-Leaning Considerations
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Authors
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1 Department of Economics, University of North Bengal, P.O. North Bengal University, Dt. Darjeeling 734 013, West Bengal, IN
1 Department of Economics, University of North Bengal, P.O. North Bengal University, Dt. Darjeeling 734 013, West Bengal, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 61, No 2 (2019), Pagination: 119-142Abstract
An inequality measure is said to be pro transfer-sensitive when the diminution in index value following transfer between the poorer pair of individuals is greater than the diminution in index value following transfer between the richer pair of individuals. This property conforms to the prime but latent objective of studying economic inequality, which prioritises the claim of the worse-off of the two groups. However, such measures are either much less frequently employed or lesser known. This paper makes an appraisal of some of them synchronising various approaches and perspectives with an overt objective of making them popular.
References
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Authors
Affiliations
1 Department of Economics, University of North Bengal, Raja Rammohunpur, DT. Darjeeling 734013, West Bengal, IN
2 Kansai University, 3-3-35, Yamate-cho, Suita-shi, Osaka 564-8680, JP
1 Department of Economics, University of North Bengal, Raja Rammohunpur, DT. Darjeeling 734013, West Bengal, IN
2 Kansai University, 3-3-35, Yamate-cho, Suita-shi, Osaka 564-8680, JP
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 62, No 3 (2020), Pagination: 219-224Abstract
Although there has been a revolution in the computational methodology of Gini coefficient towards simpler formulations and easy computation procedure with the application of software, this paper presents a far simpler working formula of the same and consequently some software command syntaxes. The key component of the formula is now just a product of income-rank-based weight and income. The method will enable researchers, who work with a large number of observations, to compute the index and add it as a variable in the same working data file with ease.References
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