EMPLOYMENT PROBABILITIES AND WORKFORCE DISTRIBUTION IN THE INDIAN MANUFACTURING SECTOR: A STATE-LEVEL ANALYSIS

Jadhav Chakradhar () and Arun Kumar Bairwa ()
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Jadhav Chakradhar: Centre for Economic and Social Studies
Arun Kumar Bairwa: Indian Institute of Technology Indore
Authors registered in the RePEc Author Service: Jadhav Jadhav () and Jadhav Chakradhar

Bulletin of Monetary Economics and Banking, 2020, vol. 23, issue 1, 55-82

Abstract: 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.

Keywords: Labour Attributes; Employment Inequalities; Employment Probabilities; Logistic Analysis; Indian Manufacturing (search for similar items in EconPapers)
JEL-codes: J15 J24 J71 R23 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:idn:journl:v:23:y:2020:i:1c:p:55-82

DOI: 10.21098/bemp.v23i1.1293

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