01376nam a22001217a 4500008004100000100003500041245008400076260004400160300003600204520090200240650006801142773004401210230310b           ||||| |||| 00| 0 eng d  aMadan, Sonu and Yadav, Manisha  aDecomposing skill based wage inequality in India: An application of Theil index  aThe Indian Journal of Labour Economics   a65(4), Oct-Dec, 2022: p.967-979  aWage inequality is one of the most prominent topics of discussion across the world. The study is an attempt to estimate wage inequality in-between and within various skill-based occupational groups in India. For the purpose, Theil index, one of the most important measures in generalised entropy family, has been utilised on the unit-level data of Periodic Labour Force Survey, 2017–18 (PLFS) pertaining to 94,460 workers employed across skill-categorised broad occupational groups. Wage inequality has observed to be highest in occupational groups requiring highly skilled workers (skill level 4), and the same is witnessed lowest among workers in occupations requiring low level of skill (skill level 1). The study found occupational diversity, diverse nature of work assignment in accordance with cognitive ability of workers the main reasons behind increasing wage inequalities.- Reproduced   aWage inequality, Skill level, Occupational groups, Theil index.  aThe Indian Journal of Labour Economics