Das Panchanan, Biswas Sumita
Department of Economics, University of Calcutta, 56A B.T. Road, Kolkata, 700050 India.
Indian J Labour Econ. 2022;65(1):39-57. doi: 10.1007/s41027-022-00360-2. Epub 2022 Mar 19.
This study measures inequality of opportunity in earnings of different types of workers living in urban locations by using methodology similar to those developed in Ferreira and Gignoux (Review of Income and Wealth 57: 622-657, 2011) with household-level data taken from Periodic the Labour Force Surveys. In calculating the index of unequal opportunity, we use ex ante concept of equal opportunity, and gender, social status and parent's education as circumstance variables. Shapley decomposition is performed to find out the relative roles of the circumstance variables in unequal opportunity in earnings. This empirical exercise reveals that a substantial part (nearly one-fourth) of total earning inequality is accounted for by inequality of opportunity in urban India. Parental education plays a significant role in contributing to unequal opportunity for regular salaried and self-employed workers, and gender difference is very much important in explaining unequal earning opportunity for casual wage workers.
本研究采用与费雷拉和吉格努(《收入与财富评论》57:622 - 657,2011年)所开发方法类似的方法,利用定期劳动力调查中的家庭层面数据,来衡量居住在城市地区的不同类型劳动者收入方面的机会不平等。在计算机会不平等指数时,我们使用机会平等的事前概念,并将性别、社会地位和父母教育程度作为环境变量。进行夏普里分解以找出环境变量在收入机会不平等中所起的相对作用。这一实证研究表明,在印度城市地区,总收入不平等的很大一部分(近四分之一)是由机会不平等造成的。父母教育程度在导致正规受薪和自营职业劳动者机会不平等方面发挥着重要作用,而性别差异在解释临时工收入机会不平等方面非常重要。