Person:
Nomura, Shinsaku
Author Name Variants
Fields of Specialization
Economics of education
Degrees
Departments
Education Global Practice
Externally Hosted Work
Contact Information
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
1 - 3 of 3
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Publication
Impacts of COVID-19 on Labor Markets and Household Well-Being in Pakistan: Evidence From an Online Job Platform
(World Bank, Washington, DC, 2021-02)This brief uses the administrative database of Pakistan’s largest online job platform and an online COVID-19 survey to examine the gender impacts of the COVID-19 pandemic on labor markets and other well-being indicators. The analysis shows that the pandemic led to an unprecedented level of economic insecurity, resulting in widespread job loss, business closures, slowdown in business activity, and reduced working hours. The sectors where women are more likely to be employed, such as education and health, were more severely affected, yet the post-pandemic recovery was faster for males. The pandemic has also led to a disproportionate increase in women’s unpaid care work, as well as increasing their reported rates of stress, anxiety and exposure to violence. These findings suggest that impacts resulting from COVID-19 might lead to further declines in women’s participation in the economy in Pakistan, where women’s labor force participation is already among the world’s lowest. -
Publication
Reflections of Employers' Gender Preferences in Job Ads in India: An Analysis of Online Job Portal Data
(World Bank, Washington, DC, 2018-03)Using online job portal data and probabilistic regression estimations, the paper investigates the explicit gender bias and salary gap in the Indian job market, reflected in more than 800,000 job recruitment advertisements. Exploring formal and informal sector occupations, the study finds high existence of employers' gender bias in hiring. Explicit gender preferences are highly job specific, and it is common to mention the preferred gender in job ads, which, in general, favor men over women. Although ads for professional occupations exhibit less explicit gender bias, they are not gender neutral. In all types of professional jobs, irrespective of the share of ads with preference for men or women, on average, ads targeting men specify/offer much higher salary. Employers in elementary sectors as well as blue-collar jobs express more segregated gender preference. The findings support the existing research that argues women are more preferred in low-quality, low-status, typically low-paid informal jobs. Targeting women for low-quality jobs explains half of the mean offered salary gap specified in ads; the rest is direct gender bias. The paper also suggests that, with the rise of new technology and sectors, gender bias in hiring in those new types of jobs is expected to decline. -
Publication
Labor Market Analysis Using Big Data: The Case of a Pakistani Online Job Portal
(World Bank, Washington, DC, 2019-11)Facing a youth bulge—a large influx of a young labor force—the Pakistani economy needs to create more jobs by taking advantage of this relatively well-educated young labor force. Yet, the educated young labor force suffers a higher unemployment rate, and there is a concern that the current education and training system in the country does not respond to skill demands in the private sector. This paper provides new descriptives about labor markets, particularly skill demand and supply, by using online job portal data. The paper finds that although there is an excess supply of highly educated workers, certain industries, such as information and communications technology, lack workers who have specialized skills and experience. The analysis also finds that the exact match of qualifications and skills is important for employers. Job applicants who are underqualified or overqualified for job posts are less likely to be shortlisted than those whose qualifications exactly match job requirements.