Gender

Female labor force participation is mainly driven by the value of their market wages versus the value of their non-market time. Labor force participation varies considerably across countries. To understand this international variation, it is important to further consider differences across countries in institutions, non-economic factors such as cultural norms, and public policies. Such differences provide important insights into what actions countries might take to further increase women's participation in the labor market.

Differences in labor market outcomes for women and men are highly persistent. Apart from discrimination, one frequently mentioned explanation could be differences in the attitude toward competition for both genders. Abundant empirical evidence indicates that multiple influences shape attitudes toward competition during different periods of the life cycle. Gender differences in competitiveness will not only influence outcomes during working age, but also during early childhood education. In order to reduce the gender gap in educational and labor market outcomes, it is crucial to understand when and why gender gaps in competitiveness arise and to study their consequences.

Despite equal pay legislation dating back 50 years, American women still earn 18% less than their male counterparts. In the UK, with its Equal Pay Act of 1970, and France, which legislated in 1972, the gap is 17% and 10% respectively, and in Australia it remains around 14%. Interestingly, the gender pay gap is relatively small for the young but increases as men and women grow older. Similarly, it is large when comparing married men and women, but smaller for singles. Just what can explain these wage patterns? And what can governments do to speed up wage convergence to close the gender pay gap? Clearly, the gender pay gap continues to be an important policy issue.

In recent decades, women's participation in the labor market has increased considerably in most countries and is converging toward the participation rate of men. Though on a lesser scale, a similar movement toward gender convergence seems to be occurring in the criminal world, though many more men than women still engage in criminal activity. Technological progress and social norms have freed women from the home, increasing their participation in both the labor and the crime market. With crime no longer just men's business, it is important to investigate female criminal behavior to determine whether the policy prescriptions to reduce crime should differ for women.

As the third-largest economy in the world and a precursor of global trends in population aging, Japan's recent experiences provide important lessons regarding how demographic shifts affect the labor market and individuals’ economic well-being. On the whole, the labor market showed a remarkable stability during the financial crisis, despite decades of economic stagnation and sluggish real wage growth. Rapid population aging, however, has brought substantial changes to individuals in the labor market, most notably women, by augmenting labor demand in the healthcare services industry.

Studies from countries with laws against discrimination on the basis of sexual orientation suggest that gay and lesbian employees report more incidents of harassment and are more likely to report experiencing unfair treatment in the labor market than are heterosexual employees. Both gay men and lesbians tend to be less satisfied with their jobs than their heterosexual counterparts. Gay men are found to earn less than comparably skilled and experienced heterosexual men. For lesbians, the patterns are ambiguous: in some countries they have been found to earn less than their heterosexual counterparts, while in others they earn the same or more.

Women's representation on corporate boards, political committees, and other decision-making teams is increasing, this is in part because of legal mandates. Evidence on team dynamics and gender differences in preferences (for example, risk-taking behavior, taste for competition, prosocial behavior) shows how gender composition influences group decision-making and subsequent performance. This works through channels such as investment decisions, internal management, corporate governance, and social responsibility.

Arguments for increasing gender diversity on boards of directors by gender quotas range from ensuring equal opportunity to improving firm performance. The introduction of gender quotas in a number of countries has increased female representation on boards. Current research does not justify gender quotas on grounds of economic efficiency. In many countries the number of women in top executive positions is limited, and it is not clear from the evidence that quotas lead to a larger pool of female top executives, who are the main pipeline for boards of directors. Thus, other supplementary policies may be necessary if politicians want to increase the number of women in senior management positions.

Women consistently work less in the labor market and earn lower wages than men. While economic empowerment of women is an important objective in itself, women's economic activity also matters as a condition for sustained economic growth. The political debate on the labor market impacts of international trade typically differentiates workers by their educational attainment or skills. Gender is a further dimension in which the impacts of trade liberalization can differ. In a globalizing world it is important to understand whether and how trade policy can contribute toward enhancing gender convergence in labor market outcomes.

Discrimination is a complex, multi-factor phenomenon. Evidence shows widespread discrimination on various grounds, including ethnic origin, sexual orientation, gender identity, religion or beliefs, disability, being over 55 years old, or being a woman. Combating discrimination requires combining the strengths of a range of anti-discrimination policies while also addressing their weaknesses. In particular, policymakers should thoroughly address prejudice (taste-based discrimination), stereotypes (statistical discrimination), cognitive biases, and attention-based discrimination.