| 000 -LEADER |
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| fixed length control field |
01857nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220214b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Inamdar, Nirad |
| 245 ## - TITLE STATEMENT |
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| Title |
Use of micro-segmentation to find determinants of women’s labour force participation and unemployment |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
The Indian Journal of Economics |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
400(101), Jul, 2020: p.31-55 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
As the COVID-19 pandemic has spread across the world, it has had an adverse impact on emerging economies like India. This effect is more severe for women and hence, there is a need to study women’s labour force participation (LFP) and unemployment separately. But in the Indian context, this topic had not seen enough research work until recently. Hence, this paper focuses exclusively on women and narrows the scope down to one state, viz. Maharashtra. Further, even within one state, there are disparities among different regions and this study provides a proxy to model them. We use data available from the India Human Development Survey 2nd Round for analysis. Drawing on similar research in this area, this paper offers two competing Probit models. The first model takes into account the joint impact of 7 variables. The second model divides the sample set into 108 microsegments, based on all possible combinations using the values of five variables – sector, marital status, social group, education level and rainfall. By using a generalised approach, our research is applicable to other states as well. Thus, our analysis identifies certain microsegments among women, which influence the likelihood of LFP and unemployment. – Reproduced |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Women’s labour force participation, Employment, Unemployment, India human development survey, Probit analysis. |
| 9 (RLIN) |
29826 |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
The Indian Journal of Economics |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| Subject DIP |
LABOUR |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Articles |
