World employment and social outlook : trends for women 2017

Gaps between men and women in the labor market persist, with women facing lower participation rates, higher unemployment, and limited access to quality jobs. Closing these gaps could yield significant economic benefits and improve individual welfare.

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Quick Facts
Report location: source
Language: English
Publisher: International Labour Organization
Publication date: 2017
Authors: Judy Rafferty, Richard Horne, Sheena Yoon, Stefan Kühn, Steven Tobin
Time horizon: 2021
Geographic focus: Global

Methods

The research method involved analyzing labor market data from various countries, focusing on gender disparities in participation, unemployment, and job quality. It utilized econometric models and surveys to assess the impact of socio-economic factors, personal preferences, and gender roles on women's labor force participation.

(Generated with the help of GPT-4)

Key Insights

The report examines gender gaps in labor market participation, unemployment, and job quality, highlighting the disparities faced by women globally. In 2017, women's labor force participation was 49.4%, nearly 27 percentage points lower than men's. The report notes a downward trend in participation rates for both genders since 1997. Women in emerging economies face the largest participation gap, while those in developed countries experience a smaller gap. The unemployment rate for women was 6.2%, slightly higher than men's 5.5%. The report emphasizes the economic benefits of closing gender gaps, estimating that achieving the G20 target of reducing participation gaps by 25% by 2025 could boost global employment by 189 million and increase GDP by 3.9%. The report also identifies socio-economic constraints, gender role conformity, and personal preferences as key factors driving these gaps. It calls for comprehensive policy measures to address these issues, including promoting women's entrepreneurship, improving work-family balance, and ensuring equal pay for equal work.

(Generated with the help of GPT-4)

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