Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India
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 gra...
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| Format: | Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/370301486667802852/Toward-labor-market-policy-2-0-the-potential-for-using-online-job-portal-big-data-to-inform-labor-market-policies-in-India http://hdl.handle.net/10986/26133 |
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okr-10986-261332021-06-08T14:42:47Z 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 labor market labor skills job-search behavior labor demand labor market analytics big data wage gender skills demand forecasting behavioral 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. 2017-02-22T21:47:51Z 2017-02-22T21:47:51Z 2017-02 Working Paper http://documents.worldbank.org/curated/en/370301486667802852/Toward-labor-market-policy-2-0-the-potential-for-using-online-job-portal-big-data-to-inform-labor-market-policies-in-India http://hdl.handle.net/10986/26133 English en_US Policy Research Working Paper;No. 7966 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper South Asia India |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
labor market labor skills job-search behavior labor demand labor market analytics big data wage gender skills demand forecasting behavioral |
| spellingShingle |
labor market labor skills job-search behavior labor demand labor market analytics big data wage gender skills demand forecasting behavioral Nomura, Shinsaku Imaizumi, Saori Areias, Ana Carolina Yamauchi, Futoshi Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| geographic_facet |
South Asia India |
| relation |
Policy Research Working Paper;No. 7966 |
| description |
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. |
| format |
Working Paper |
| author |
Nomura, Shinsaku Imaizumi, Saori Areias, Ana Carolina Yamauchi, Futoshi |
| author_facet |
Nomura, Shinsaku Imaizumi, Saori Areias, Ana Carolina Yamauchi, Futoshi |
| author_sort |
Nomura, Shinsaku |
| title |
Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| title_short |
Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| title_full |
Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| title_fullStr |
Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| title_full_unstemmed |
Toward Labor Market Policy 2.0 : The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India |
| title_sort |
toward labor market policy 2.0 : the potential for using online job-portal big data to inform labor market policies in india |
| publisher |
World Bank, Washington, DC |
| publishDate |
2017 |
| url |
http://documents.worldbank.org/curated/en/370301486667802852/Toward-labor-market-policy-2-0-the-potential-for-using-online-job-portal-big-data-to-inform-labor-market-policies-in-India http://hdl.handle.net/10986/26133 |
| _version_ |
1764461028641341440 |