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Inequality: concepts, data, perspectives and solutions

Abstract

A comprehensive treatise on inequality from economic, social, business and metrics/data perspectives is lacking in the literature and this treatise fills that void. We posit that: (a) neoclassical economics has failed to address inequality within nations; (b) the social theories on inequality are of ancillary importance; (c) businesses have contributed to inequality in several ways but have also made a positive contribution towards a fairer, more equitable society; (d) data on inequality is not up to date. Taxation and social programs offer an inadequate approach to tackling inequality without a proper framework and supporting approaches. In addition, complementarity between neoclassical economics and behavioural economics would be a positive factor in addressing inequality and should be pursued. Issues of inequality metrics and data reliability have moved to the forefront of discussions as the data currently available is the basis of much dissent. Robust metrics and reliable and up to date inequality data (as well as related statistics) are indispensable for designing, implementing, monitoring, and evaluating inequality interventions and policies

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