• Jadhav Chakradhar Centre for Economic and Social Studies
  • Arun Kumar Bairwa School of HSS, Indian Institute of Technology Indore, Madhya Pradesh, India https://orcid.org/0000-0002-3954-1707
Keywords: Labour attributes, Employment inequalities, Employment probabilities, Logistic analysis, Indian manufacturing


Employment distribution disparities are preventing the Indian economy from achieving inclusive growth. The skewed distribution of employment is one of the reasons for the rising inequalities in the economy. In this regard, the present study analyses the employment probabilities of Indians working in the manufacturing sector. A binary logit 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 study analyses four major attributes, namely castes (social categories), gender, location, and education. We analyze these attributes separately for all the 29 main Indian states, and find that caste and location are highly important deciding factors of employment probabilities in the manufacturing sector.


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Author Biography

Arun Kumar Bairwa, School of HSS, Indian Institute of Technology Indore, Madhya Pradesh, India

Presently doing PhD in Economics at IIT Indore. Before this I worked at Indian Institute of Management (IIM) Indore. I have completed my Masters in Economics from Central University of Kerala.


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How to Cite
Chakradhar, J., & Bairwa, A. (2020). EMPLOYMENT PROBABILITIES AND WORKFORCE DISTRIBUTION IN THE INDIAN MANUFACTURING SECTOR: A STATE-LEVEL ANALYSIS. Buletin Ekonomi Moneter Dan Perbankan, 23(1), 55 - 82. https://doi.org/10.21098/bemp.v23i1.1293