The Skills Space in Informal Work: Insights from Bangalore Slums.
We develop a framework for mapping and analysing informal worker skills using microdata from nearly 1500 workers residing in the slums of Bangalore, India. Alongside econometric modelling, we employ machine learning techniques to explore relationships between skills crowdsourced from respondents. We...
| Publicado en: | Journal of Development Studies Vol. 57; no. 10; pp. 1662 - 1690 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Oct2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=152374607&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 152374607 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00220388 JDS jtl: Journal of Development Studies issn: 00220388 maglogo: N pubinfo: dt: Oct2021 vid: 57 iid: 10 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 152374607 10.1080/00220388.2021.1898593 ppf: 1662 ppct: 28 formats: fmt: – @attributes: type: T db: hlh ui: 152374607 – @attributes: type: P db: hlh ui: 152374607 tig: atl: The Skills Space in Informal Work: Insights from Bangalore Slums. aug: au: Sengupta, Nandana Gaurav, Sarthak Evans, James affil: School of Public Policy, Indian Institute of Technology Delhi, New Delhi, India Shailesh J. Mehta School of Management Affiliate Faculty, Centre for Policy Studies, Indian Institute of Technology, Bombay, Mumbai, India Department of Sociology, University of Chicago, Chicago, IL, USA Santa Fe Institute, Santa Fe, NM, USA su: Bengaluru (India) Slums Social skills Gender Wages Labor market sug: subj: Slums Social skills Gender Wages Labor market Bengaluru (India) ab: We develop a framework for mapping and analysing informal worker skills using microdata from nearly 1500 workers residing in the slums of Bangalore, India. Alongside econometric modelling, we employ machine learning techniques to explore relationships between skills crowdsourced from respondents. We find that informal workers rely on a host of task, language, personal and social skills. Further, we identify skill claims associated with both levels and stability of wage earnings. Our results include insights on gender disparities in skill claims, importance of English and computer literacy and the central role of personal and social skills in the Indian informal labour market. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|