Nomura, Shinsaku

Education Global Practice
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Economics of education
Education Global Practice
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Last updated January 31, 2023
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

Now showing 1 - 6 of 6
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    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) Tas, Emcet O. ; Ahmed, Tanima ; Matsuda, Norihiko ; Nomura, Shinsaku
    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.
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    Reflections of Employers' Gender Preferences in Job Ads in India: An Analysis of Online Job Portal Data
    (World Bank, Washington, DC, 2018-03) Chowdhury, Afra R. ; Areias, Ana C. ; Imaizumi, Saori ; Nomura, Shinsaku ; Yamauchi, Futoshi
    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.
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    Asymmetric Information on Noncognitive Skills in the Indian Labor Market: An Experiment in Online Job Portal
    (World Bank, Washington, DC, 2018-03) Yamauchi, Futoshi ; Nomura, Shinsaku ; Imaizumi, Saori ; Areias, Ana ; Chowdhury, Afra
    This paper examines the impact of noncognitive (socio-emotional) skills on job market outcomes, using a randomized control trial implemented in an online job portal in India. Job seekers who registered in the portal were asked to take a Big-Five type personality test and, for a random subsample of the test takers, the results were displayed to potential employers. The outcomes are measured by whether a potential employer shortlisted a job seeker by opening (unlocking) his/her application and background information. The results show that the treatment group for whom test results were shown generally enjoyed a higher probability of unlock. That is, employers are more interested in those for whom they can see personality test results. Such a relationship was not seen in the pre-test period, which confirms that the results are unlikely to be spurious. The study also finds a significant impact among organized, calm, imaginative, and/or quiet applicants (no effect is detected among easy-going, sensitive, realistic, and/or outgoing applicants), which seems to display employers' preference.
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    The Influence of Non-Cognitive Skills on Wages within and between Firms: Evidence from Bangladesh's Formal Sector
    (World Bank, Washington, DC, 2017-05) Nomura, Shinsaku ; Adhikari, Samik
    Many employers and employees believe that non-cognitive skills are an important contributor to labor market success. This study has assessed the empirical evidence for such a claim in the case of Bangladesh by evaluating unique employer-employee matched labor market data. The analysis is based on data collected from 6,981 workers in 500 formal sector firms in Bangladesh's five largest formal economic sectors. Using ordinary least squares and firm fixed-effect models, the study assesses correlations between wages and the so-called "big five" personality traits, and augments the analysis with the latent personality scores captured by the Rasch model. Comparing the ordinary least squares and fixed-effect models reveals statistically significant correlations between personality traits and wages, within and across firms. The results appear to indicate that non-cognitive skills are correlated with a worker's likelihood of achieving success in the labor market. Although many of the findings are consistent with the literature, the analysis reveals specific patterns that appear to be unique to Bangladesh, including a positive correlation between “emotional stability” and wages and a negative correlation between "grit" and wages, especially among manufacturing workers. Differences across firms could indicate that firms that offer higher wages may tend to attract workers with distinct types of non-cognitive skills, whereas differences within firms may indicate that variations in non-cognitive skills are associated with disparities in firm-level wage structures. Correlations between wages and personality traits are more prominent among large firms than among small or medium-sized firms.
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    Fast, Easy and Cheap Job Matching: Social Networks in Bangladesh
    (World Bank, Washington, DC, 2017-06) Matsuda, Norihiko ; Nomura, Shinsaku
    This paper uncovers the reason why social networks are used in a job market. The data are novel: a nationally representative matched employer-employee data set in Bangladesh with detailed information, including direct measures of the use of social networks. The empirical analysis shows that compared with those who used open channels to find jobs, the employees who used social networks found jobs more easily, have lower observable abilities, and achieved lower employment outcomes conditional on observable and unobservable abilities. These results are robust whether firm-occupation fixed effects are controlled for or not. By comparing these findings with theoretical predictions, the paper concludes that social networks play the role as fast and easy but narrow-spectrum matching. That is, social networks allow job seekers to find jobs quickly and easily and thereby reduce search costs, but the types of jobs available from social networks are narrower than those from open channels. As a consequence, those who choose to use social networks are more likely to end up having mismatched jobs, that is jobs in which they cannot take advantage of their specialties. In the context of developing countries, a considerable number of poor job seekers may use social networks out of necessity even if the returns to finding good-match jobs through open channels are sufficiently high.
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    Labor Market Analysis Using Big Data: The Case of a Pakistani Online Job Portal
    (World Bank, Washington, DC, 2019-11) Matsuda, Norihiko ; Ahmed, Tutan ; Nomura, Shinsaku
    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.