The share of women in managerial and leadership roles in Japan – in both the public and private sector – are among the lowest across the globe. This paper empirically examines what drives these large gender gaps in leadership in Japan, using the SVAR model. Results suggest — (i) cultural norms where women take up significantly more burden of household and childcare work; (ii) Japan’s unique employment practices (non-regular employment, long in-person working hours); and (iii) the availability of childcare facilities — are the key drivers. Further progress on workstyle reforms, more flexible labor markets, improving the quality of childcare facilities, and raising paternity leave usage will help close these gaps.

Japan’s fertility has declined in the past three decades. Raising Japan’s fertility rate is a key policy priority for the government. Using cross-country analysis and case studies, this paper finds that the most successful measure to support the fertility rate is the provision of childcare facilities, particularly for children aged 0-2. Offering stronger incentives for the use of paternity leave can alleviate the burden of childcare on mothers, supporting fertility. On the other hand, there is limited evidence that cash transfers are effective in supporting fertility, based on international experience.

Japan’s unemployment rate remains relatively low compared to other OECD countries. However, Japan’s poverty rate among the working-age population is one of the higher ones among OECD countries. The public assistance program in Japan does not provide adequate income support for the working poor and creates inherent work disincentives. In this context, the Earned Income Tax Credit (EITC) warrants consideration to strengthen the social safety net and relieve poverty of the working poor in Japan. This paper provides an overview of the theoretical and practical issues of EITC, aiming to support its potential introduction in Japan.

This paper explores the complex roles of demographic changes and technological innovation in shaping Japan's labor market. We use regression analysis to assess the impact of population aging on labor productivity and shortages. Our findings indicate that the aging workforce contributes to labor shortages and potentially weighs on labor productivity. We also investigate occupational level data to identify the complementarity and substitutability of AI in occupational tasks as well as skill transferability. Our research reveals that Japanese workers face lower exposure to AI compared to their counterparts in other advanced economies, thereby constraining AI's potential to mitigate labor shortages. Furthermore, the disparities in skill requirements across occupations with different AI exposures highlight the importance of facilitating labor mobility from displaced jobs to those in demand.