摘要：Employment distribution disparities are preventing the Indian economy from achievinginclusive growth. The skewed distribution of employment is one of the reasons forthe rising inequalities in the economy. In this regard, the present study analyses theemployment probabilities of Indians working in the manufacturing sector. A binarylogit model has been used on a pooled cross-sectional dataset of the fourth (2013-14) and fifth (2015-16) Employment and Unemployment Surveys (EUS). The studyanalyses four major attributes, namely castes (social categories), gender, location, andeducation. We analyze these attributes separately for all the 29 main Indian states,and find that caste and location are highly important deciding factors of employmentprobabilities in the manufacturing sector.
关键词：Labour attributes; Employment inequalities; Employment probabilities; Logistic analysis; Indian manufacturing
