abstract: 'Gender wage inequality is a chronic socioeconomic malice in developed as

  well as in developing countries. This paper describes the outcomes of

  our study on the estimation of gender wage gap in the Indian labour

  market, using the 68th Round NSSO employment-unemployment data. The

  study uses Blinder-Oaxaca decomposition technique and Heckman two-step

  methodology, for removal of selectivity bias in the sample data, to

  measure the components of total gender wage gap, viz. (1) occupational

  segregation (explained by economic rationale) and (2) direct

  discrimination (not explained by economic rationale). The analysis

  indicates that the maximum direct discrimination is for job-related

  factors, such as industry type which are controlled by employers. The

  majority of the Indian employers today are men, which may be the reason

  for the insensitivity to the chronic direct discrimination against women

  in workplaces. The study also indicates that most of the explained

  gender wage gap is due to lower skill and experience amongst women. The

  findings suggest that besides labour law reforms for ensuring gender

  neutrality in workplaces, focused government policies for promoting

  women entrepreneurship and skill development of women are urgently

  required for reducing the gender wage gap in India.'
affiliation: 'Poddar, S (Corresponding Author), Lady Brabourne Coll, Dept Econ, Flat
  5 A,360 Dum Dum Pk, Kolkata 700055, India.

  Poddar, Somasree, Lady Brabourne Coll, Dept Econ, Flat 5 A,360 Dum Dum Pk, Kolkata
  700055, India.

  Mukhopadhyay, Ishita, Univ Calcutta, Dept Econ, Kolkata, India.'
author: Poddar, Somasree and Mukhopadhyay, Ishita
author-email: roychowdhurysomasree10@gmail.com
author_list:
- family: Poddar
  given: Somasree
- family: Mukhopadhyay
  given: Ishita
da: '2023-09-28'
doi: 10.1007/s40953-018-0124-9
eissn: 2364-1045
files: []
issn: 0971-1554
journal: JOURNAL OF QUANTITATIVE ECONOMICS
keywords: 'Gender wage gap; Discrimination; Blinder-Oaxaca decomposition; India;

  C13; J16; J31'
keywords-plus: SAMPLE SELECTION; DISCRIMINATION; DECOMPOSITION
language: English
month: MAR
number: '1'
number-of-cited-references: '41'
pages: 121-151
papis_id: 11d4d5760727254a02bb0f390d8d0c78
ref: Poddar2019genderwage
times-cited: '6'
title: 'Gender Wage Gap: Some Recent Evidences from India'
type: Article
unique-id: WOS:000538600100006
usage-count-last-180-days: '0'
usage-count-since-2013: '7'
volume: '17'
web-of-science-categories: Economics
year: '2019'