EMPLOYMENT DISCRIMINATION IN INDIAN MANUFACTURING INDUSTRIES: A LOGIT ANALYSIS

Arun Kumar Bairwa, Jadhav Chakradhar and Pritee Sharma
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Arun Kumar Bairwa: School of Humanities and Social Sciences, Indian Institute of Technology Indore, Madhya Pradesh, India
Jadhav Chakradhar: #x2020;Centre for Economic and Social Studies (CESS), Hyderabad, Telangana, India
Pritee Sharma: School of Humanities and Social Sciences, Indian Institute of Technology Indore, Madhya Pradesh, India
Authors registered in the RePEc Author Service: Jadhav Jadhav () and Jadhav Chakradhar

The Singapore Economic Review (SER), 2020, vol. 65, issue supp01, 233-259

Abstract: Persistent socioeconomic inequalities in a society reduce the chances of employment for its weaker sections. In India, those most affected by inequality and discrimination are women, people of lower castes, rural households and illiterate people. This necessitates an analysis of the levels of discrimination and favoritism working against female, lower caste, rural and illiterate individuals in different manufacturing industries. This study presents an in-depth picture of employment in each industry with regard to the four variables selected — gender, caste, location and education. Fourth (2013–2014) and fifth (2015–2016) annual Employment and Unemployment Surveys have been used for the analysis.

Keywords: Manufacturing employment; labor attributes; Indian manufacturing; logit model; labor discrimination (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S021759081944003X

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