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Employment Discrimination In Indian Manufacturing Industries: A Logit Analysis

Author

Listed:
  • 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)

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.

Suggested Citation

  • Arun Kumar Bairwa & Jadhav Chakradhar & Pritee Sharma, 2020. "Employment Discrimination In Indian Manufacturing Industries: A Logit Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(supp01), pages 233-259, December.
    • Handle: RePEc:wsi:serxxx:v:65:y:2020:i:supp01:n:s021759081944003x
    DOI: 10.1142/S021759081944003X
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    Cited by:

    1. Jadhav Chakradhar & Arun Kumar Bairwa, 2020. "Employment Probabilities And Workforce Distribution In The Indian Manufacturing Sector: A State-Level Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(1), pages 55-82, April.

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