78 lines
2.5 KiB
YAML
78 lines
2.5 KiB
YAML
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abstract: 'Gender wage inequality is a chronic socioeconomic malice in developed as
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well as in developing countries. This paper describes the outcomes of
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our study on the estimation of gender wage gap in the Indian labour
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market, using the 68th Round NSSO employment-unemployment data. The
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study uses Blinder-Oaxaca decomposition technique and Heckman two-step
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methodology, for removal of selectivity bias in the sample data, to
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measure the components of total gender wage gap, viz. (1) occupational
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segregation (explained by economic rationale) and (2) direct
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discrimination (not explained by economic rationale). The analysis
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indicates that the maximum direct discrimination is for job-related
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factors, such as industry type which are controlled by employers. The
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majority of the Indian employers today are men, which may be the reason
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for the insensitivity to the chronic direct discrimination against women
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in workplaces. The study also indicates that most of the explained
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gender wage gap is due to lower skill and experience amongst women. The
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findings suggest that besides labour law reforms for ensuring gender
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neutrality in workplaces, focused government policies for promoting
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women entrepreneurship and skill development of women are urgently
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required for reducing the gender wage gap in India.'
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affiliation: 'Poddar, S (Corresponding Author), Lady Brabourne Coll, Dept Econ, Flat
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5 A,360 Dum Dum Pk, Kolkata 700055, India.
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Poddar, Somasree, Lady Brabourne Coll, Dept Econ, Flat 5 A,360 Dum Dum Pk, Kolkata
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700055, India.
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Mukhopadhyay, Ishita, Univ Calcutta, Dept Econ, Kolkata, India.'
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author: Poddar, Somasree and Mukhopadhyay, Ishita
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author-email: roychowdhurysomasree10@gmail.com
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author_list:
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- family: Poddar
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given: Somasree
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- family: Mukhopadhyay
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given: Ishita
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da: '2023-09-28'
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doi: 10.1007/s40953-018-0124-9
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eissn: 2364-1045
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files: []
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issn: 0971-1554
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journal: JOURNAL OF QUANTITATIVE ECONOMICS
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keywords: 'Gender wage gap; Discrimination; Blinder-Oaxaca decomposition; India;
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C13; J16; J31'
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keywords-plus: SAMPLE SELECTION; DISCRIMINATION; DECOMPOSITION
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language: English
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month: MAR
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number: '1'
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number-of-cited-references: '41'
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pages: 121-151
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papis_id: 11d4d5760727254a02bb0f390d8d0c78
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ref: Poddar2019genderwage
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times-cited: '6'
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title: 'Gender Wage Gap: Some Recent Evidences from India'
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type: Article
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unique-id: WOS:000538600100006
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usage-count-last-180-days: '0'
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usage-count-since-2013: '7'
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volume: '17'
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web-of-science-categories: Economics
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year: '2019'
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