Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6388
Title: EMPLOYMENT DISCRIMINATION in INDIAN MANUFACTURING INDUSTRIES: A LOGIT ANALYSIS
Authors: Bairwa, Arun Kumar
Sharma, Pritee
Keywords: caste system;educational attainment;employment;gender relations;labor relations;logit analysis;manufacturing;unemployment;India
Issue Date: 2020
Publisher: World Scientific
Citation: Bairwa, A. K., Chakradhar, J., & Sharma, P. (2020). EMPLOYMENT DISCRIMINATION in INDIAN MANUFACTURING INDUSTRIES: A LOGIT ANALYSIS. Singapore Economic Review, 65(supp01), 233-259. doi:10.1142/S021759081944003X
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. © 2020 World Scientific Publishing Company.
URI: https://doi.org/10.1142/S021759081944003X
https://dspace.iiti.ac.in/handle/123456789/6388
ISSN: 0217-5908
Type of Material: Conference Paper
Appears in Collections:School of Humanities and Social Sciences

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