Toward Labor Market Policy 2.0: The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India Nomura, Shinsaku Imaizumi, Saori Areias, Ana Carolina Yamauchi, Futoshi 2017-02-22T21:47:51Z 2017-02-22T21:47:51Z 2017-02
dc.description.abstract Economists and other social scientists are increasingly using big data analytics to address longstanding economic questions and complement existing information sources. Big data produced by online platforms can yield a wealth of diverse, highly granular, multidimensional information with a variety of potential applications. This paper examines how online job-portal data can be used as a basis for policy-relevant research in the fields of labor economics and workforce skills development, through an empirical analysis of information generated by Babajob, an online Indian job portal. The analysis highlights five key areas where online job-portal data can contribute to the development of labor market policies and analytical knowledge: (i) labor market monitoring and analysis; (ii) assessing demand for workforce skills; (iii) observing job-search behavior and improving skills matching; (iv) predictive analysis of skills demand; and (v) experimental studies. The unique nature of the data produced by online job-search portals allows for the application of diverse analytical methodologies, including descriptive data analysis, time-series analysis, text analysis, predictive analysis, and transactional data analysis. This paper is intended to contribute to the academic literature and the development of public policies. It contributes to the literature on labor economics through application of big data analytics to real-world data. The analysis also provides a unique case study on labor market data analytics in a developing-country context in South Asia. Finally, the report examines the potential for using big data to improve the design and implementation of labor market policies and promote demand-driven skills development. en
dc.language English
dc.language.iso en_US
dc.publisher World Bank, Washington, DC
dc.relation.ispartofseries Policy Research Working Paper;No. 7966
dc.rights CC BY 3.0 IGO
dc.rights.holder World Bank
dc.subject labor market
dc.subject labor skills
dc.subject job-search behavior
dc.subject labor demand
dc.subject labor market analytics
dc.subject big data
dc.subject wage
dc.subject gender
dc.subject skills demand
dc.subject forecasting
dc.subject behavioral
dc.title Toward Labor Market Policy 2.0 en
dc.title.subtitle The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India en
dc.type Working Paper en
dc.type Document de travail fr
dc.type Documento de trabajo es
dspace.entity.type Publication
okr.crossref.title Toward Labor Market Policy 2.0: The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India 2017-02-09
okr.doctype Publications & Research
okr.doctype Publications & Research :: Policy Research Working Paper
okr.identifier.doi 10.1596/1813-9450-7966
okr.identifier.externaldocumentum 090224b084923733_1_0
okr.identifier.internaldocumentum 27177616 WPS7966
okr.imported true
okr.language.supported en
okr.pdfurl en
okr.region.administrative South Asia India
okr.statistics.combined 6595
okr.statistics.dr 370301486667802852
okr.statistics.drstats 5782
okr.topic Education :: Educational Policy and Planning
okr.topic Information and Communication Technologies :: Rural Information & Communications Technologies
okr.topic Rural Development :: Rural Development Knowledge & Information Systems
okr.topic Social Protections and Labor :: Labor Markets
okr.topic Social Protections and Labor :: Skills Development and Labor Force Training
okr.unit Education Global Practice Group
relation.isAuthorOfPublication 208a78c7-9120-529a-af26-4b54b9ebfece
relation.isAuthorOfPublication e1d34098-3f52-5eab-aca8-012182ce818e
relation.isSeriesOfPublication 26e071dc-b0bf-409c-b982-df2970295c87
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