wow-inequalities/02-data/intermediate/wos_sample/cd7dc5d3d36a2e11dca7d3a3dc00255e-poddar-somasree-and/info.yaml

78 lines
2.5 KiB
YAML
Raw Normal View History

2023-09-28 14:46:10 +00:00
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'
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000538600100006
usage-count-last-180-days: '0'
usage-count-since-2013: '7'
volume: '17'
web-of-science-categories: Economics
year: '2019'