Integrating Gender Into The Imf S Work

This note argues that the IMF is filling a critical gap by integrating gender issues into it work. It makes the case that (i) closing gender gaps is critical for economies because they lead to underdevelopment, underutilization, and misallocation of productive human resources; and (ii) applying a gender lens to macroeconomic, financial, and structural policy design can narrow gender gaps and result in improved economic outcomes. This Note complements this argument by providing an overview of gender gaps in opportunities, outcomes, and representation; taking stock of how these gaps impact macroeconomic and financial outcomes; and identifying which polices can narrow gender gaps. It explains how narrowing gender gaps can benefit societies and outline steps countries can take to unleash the economic gains from gender equality.

This interim note provides general guidance on the operationalization of the IMF’s Strategy Toward Mainstreaming Gender. It offers a comprehensive overview of how IMF staff can integrate macrocritical gender issues into the IMF’s core areas of surveillance, lending, and capacity development. Key topics include i) identifying and assessing macrocritical gender gaps; ii) the “light touch” and “deep dive” approaches; iii) early insights on integrating gender into IMF-supported programs; iv) capacity development on gender or with a gender lens; v) synergies with other workstreams and vi) the importance of collaboration. It also includes summaries and links to relevant tools, databases, IMF staff reports, and relevant literature.

"The economic and social imperative for women’s economic empowerment is clear. Greater gender equality boosts economic growth and leads to better development outcomes. It contributes to reducing income inequality and boosting economic diversification and, in turn, supports economic resilience. Gender equality is one of the 17 global UN Sustainable Development Goals, which provide a roadmap for ending poverty, protecting the planet, and ensuring that all people enjoy peace and prosperity. The G7 has emphasized the need for closing the gender gap. The Taormina Leaders’ Summit in 2017 renewed the emphasis on promoting women’s empowerment, which the leaders see as a crucial contribution to promoting sustainable development. In this regard, leaders committed to mainstreaming gender equality into all their policies. This is carried forward by Canada’s G7 Presidency. With growing recognition that gender equality promotes economic stability and growth, the IMF has scaled up its work in this area and is committed to continue these efforts. Work by the IMF will focus on (i) deepening its understanding of the economic benefits of women’s empowerment, both in the labor market and through more equal opportunities for boys and girls, also against the background of persistent megatrends, including in an environment of rapid technological change; (ii) integrating the analysis into Fund policy dialogue with member countries; (iii) providing customized assistance, workshops, and peer-learning courses in areas such as gender budgeting; and (iv) expanding collaboration with other international institutions on the subject to benefit from complementary areas of expertise."

While progress has been made in increasing female labor force participation (FLFP) in the last 20 years, large gaps remain. The latest Fund research shows that improving gender diversity can result in larger economic gains than previously thought. Indeed, gender diversity brings benefits all its own. Women bring new skills to the workplace. This may reflect social norms and their impact on upbringing and social interactions, or underlying differences in risk preference and response to incentives for example. As such, there is an economic benefit from diversity, that is from bringing women into the labor force, over and above the benefit resulting from more (male) workers. The study finds that male and female labor are imperfect substitutes in production, and therefore gender differences in the labor force matter. The results also imply that standard models, which ignore such differences, understate the favorable impact of gender inclusion on growth, and misattribute to technology a part of growth that is actually caused by women’s participation. The study further suggests that narrowing gender gaps benefits both men and women, because of a boost to male wages from higher FLFP. The paper also examines the role of women in the process of sectoral reallocation from traditional agriculture to services and the resulting effect on productivity and growth. Because FLFP is relatively high in services, sectoral reallocation along development paths serves to boost gender parity and productivity.

Presents 27 articles dating from 1923 to 1994 on gender differences, female labour supply, male-female wage differences and on the historical significance of women's work.

This paper considers various dimensions and sources of gender inequality and presents policies and best practices to address these. With women accounting for fifty percent of the global population, inclusive growth can only be achieved if it promotes gender equality. Despite recent progress, gender gaps remain across all stages of life, including before birth, and negatively impact health, education, and economic outcomes for women. The roadmap to gender equality has to rely on legal framework reforms, policies to promote equal access, and efforts to tackle entrenched social norms. These need to be set in the context of arising new trends such as digitalization, climate change, as well as shocks such as pandemics.

New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

We study whether higher gender equality facilitates economic growth by enabling better allocation of a valuable resource: female labor. By allocating female labor to its more productive use, we hypothesize that reducing gender inequality should disproportionately benefit industries with typically higher female share in their employment relative to other industries. Specifically, we exploit within-country variation across industries to test whether those that typically employ more women grow relatively faster in countries with ex-ante lower gender inequality. The test allows us to identify the causal effect of gender inequality on industry growth in value-added and labor productivity. Our findings show that gender inequality affects real economic outcomes.