Bad Karma or Discrimination? Male-Female Wage Gaps Among Salaried Workers in India

Deshpande, Ashwini; Goel, Deepti; Khanna, Shantanu

doi:10.2139/ssrn.2690733

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…These results are consistent with the findings of earlier studies like Madheswaran and Attewell (2007) and Deshpande et al (2015), who have also found significant overall earning discrimination against women in India.…”

Section: Results Based On Descriptive Statisticssupporting

confidence: 93%

“…These results are again consistent with the findings of earlier studies like Madheswaran and Attewell (2007), Deshpande et al (2015), Duraisamy and Duraisamy (2016), Madheswaran and Singhari (2016), Singhari and Madheswaran (2017), and Padhi et al (2019), who have found that earning discrimination against workers belonging to the SC category is high in India.…”

Section: Results Based On Descriptive Statisticssupporting

confidence: 92%

“…On the other hand, existing earning–wage inequality studies in India, by and large, have focused on entire labour force and the issues such as labour market segmentation based on informality, government versus private jobs, occupations, etc. Existing studies on earning differentials by gender (Kingdon, 1998; Kingdon & Unni, 2001; Duraisamy & Duraisamy, 2005; Agrawal, 2014; Deshpande et al, 2015) and social group (Agrawal, 2014; Madheswaran & Attewell, 2007; Madheswaran & Singhari, 2016; Singhari & Madheswaran, 2017; Thorat et al, 2009) have not examined the case of vocationally trained youth categorically. Except Singh et al (2020b), there is a dearth of studies that examine wage inequality among vocationally trained youth in India, including the states of Punjab and Haryana.…”

Section: A Brief Review Of Literaturementioning

confidence: 99%

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Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India

Singh

Parida

2020

Millennial Asia

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This article examines the employability of vocationally trained youth and estimates their earning functions and existing wage differentials by gender and social groups in both Punjab and Haryana. Using primary data from two selected districts (one from each state) with a sample size of 914 pass-outs from 19 training institutes, we find that lack of demand and skill issues restrict vocationally trained youth to obtain quality jobs in these districts. Hence, most of them are either found in contractual jobs with a lower level of earning or remain unemployed from the time of completion of their training. Moreover, significant earning/wage differences are noted across gender and social groups. Female and Scheduled Caste (SC) workers are discriminated by getting paid lesser than their male and upper caste counterparts, despite their similar training and skill endowments. Hence, it is suggested that government intervention is necessary to lower the existing skill gap and to improve the quality of jobs for vocationally trained youth to reduce the rising unemployment problem.

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Section: Results Based On Descriptive Statisticssupporting

confidence: 93%

Section: Results Based On Descriptive Statisticssupporting

confidence: 92%

Section: A Brief Review Of Literaturementioning

confidence: 99%

See 1 more Smart Citation

Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India

Singh

Parida

2020

Millennial Asia

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“…Madheswaran and Khasnobis (2007), however, show that the wage differential due to gender discrimination has declined over time in the regular labour markets of India. Despande et al (2015) have got similar findings for regular workers in the country. Like wage rate, participation in work and supply of female labour are equally important.…”

Section: Review Of Literaturesupporting

confidence: 71%

Wage-differentials and Their Determinants Across Industries in the Organized Manufacturing Sector of India

Ganguly¹,

Sasmal

2020

Global Business Review

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This article calculates the magnitude of wage differentials across industries in the organized manufacturing sector of India and identifies the major determinants of wage differentiation among the industries. Using data from Annual Survey of Industries in India for the period from 2000–2001 to 2015–2016, this study shows that mean wage is less in labour-intensive industries compared to the capital-intensive industries. The results of panel regression of annual average wage on various industry-specific factors show that productivity of labour is the most important factor in wage determination, and productivity largely depends on capital–labour ratio. The other significant factors in this regard are farm size, amount of profit and proportion of casual and female workers in total employment. Important policy implication of this study is that regulatory wage fixation and wage bargaining outcomes are not as significant as productivity differentials in explaining wage gaps across industries.

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What Employment Policy for a Globalized India?

Verick

2019

Globalization, Labour Market Institutions, Processes and Policies in India

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Bad Karma or Discrimination? Male-Female Wage Gaps Among Salaried Workers in India

Cited by 10 publications

References 20 publications

Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India

Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India

Wage-differentials and Their Determinants Across Industries in the Organized Manufacturing Sector of India

What Employment Policy for a Globalized India?

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