Person:
Nomura, Shinsaku

Education Global Practice
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Economics of education
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Education Global Practice
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Last updated: September 25, 2023
Biography
Shinsaku Nomura is a Senior Economist at the Education Global Practice in the World Bank. He has worked in countries in Middle East and North Africa, Sub-Saharan Africa, and South Asia regions. In South Asia, he has managed projects of basic and secondary education, early childhood education, and skills development in Pakistan, Bangladesh and India. He has also led analytical projects such as big data labor market analytics, learning assessments, impact evaluations, and economic and financial analyses. He received a PhD in Economics from the Graduate School of International Cooperation Studies, Kobe University, Japan.

Publication Search Results

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  • Publication
    Toward Labor Market Policy 2.0: The Potential for Using Online Job-Portal Big Data to Inform Labor Market Policies in India
    (World Bank, Washington, DC, 2017-02) Imaizumi, Saori; Nomura, Shinsaku; Areias, Ana Carolina; Yamauchi, Futoshi
    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.