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Presents gender differences in the areas of population, education, labour market, political and economic power, social issues and health.
This report examines the major trends in women's employment and unemployment over the past two decades in Organisation for Economic Co-operation and Development member countries. Employment and unemployment trends in the labor force by sex are first considered. The report next examines the growth of the female labor supply and the trends in the labor force participation of women with an analysis of the factors responsible for these developments. It then analyzes the growth of the demand for female labor sector by sector and the development of part-time work, short-term and casual employment, the impact of technological change, and male and female earnings differentials as they have characterized female employment trends. On the basis of these developments, which are reviewed on the two sides of the labor market, the report examines in a comparative way the movements over conjunctural cycles of male and female unemployment and the reasons for its development. Twenty-three tables are included. (YLB)
We model a mechanism which can generate most of the gender gap in unemployment observed in most of the OECD countries. The main components of the model are moral hazard, labor market institutions, and higher home productivity of women than men. The source of moral hazard is imperfect monitoring performed by the government. Higher home productivity of women makes them more likely to reject job offers and to stay unemployed which causes higher unemployment level for women. We find that each component has a quantitatively large effect on unemployment levels.
Pay transparency policies are gaining momentum throughout the OECD. Over half of OECD countries require private sector firms to report their gender pay gap statistics regularly to stakeholders like employees, employee representatives, the government, and/or the public. Gender pay gap reporting, equal pay audits and other pay transparency policies help advance gender equality at the workplace.
The gender unemployment gap, the difference between female and male unemployment rates, was positive until the early 1980s. This gap disappeared after 1983, except during recessions, when men’s unemployment rate has always exceeded women’s. Using a calibrated three-state search model, we show that the convergence in female and male labor force attachment accounts for most of the closing of the gender unemployment gap. Evidence from nineteen OECD countries is consistent with this finding. We show that gender differences in industry composition are the main source of the cyclicality of the unemployment gap.
This OECD report focuses on how best to close gender gaps under four broad headings: 1) Gender equality, social norms and public policies; and gender equality in 2) education; 3) employment and 4) entrepreneurship.
This paper examines the role of structural fiscal policies to promote female labor force participation and reduce gender gaps in labor markets in 26 OECD countries from 2000 to 2019. As both female labor force participation and many explanatory/control variables clearly exhibit non-stationarity (potentially leading to spurious regression results), we employ a panel vector error-correction model, in contrast with most previous empirical studies on this matter. Our analyses confirm statistically significant positive impacts of government spending on (1) early childcare and education, (2) active labor market programs, and (3) unemployment benefits, all of which would help encourage women to enter the labor force, while (4) an increase in relative tax rate on second earner could have negative impact on female labor force participation.
This 2008 edition of OECD's annual report on labour markets brings the reader detailed information on recent labour market developments, as well as in-depth analysis of the effects of various policy measures and prospects through 2009.
We study the effects of monetary policy shocks on employment gender gaps in a panel of 22 countries using quarterly data from 1990 to 2019. Our results show that men’s employment falls more than women’s after contractionary monetary policy shocks, narrowing the employment gender gap over time. Two factors contribute to explaining this heterogeneous effect. First, a larger impact of monetary policy shocks on employment in the industry sector that employs more men. Second, the larger response of the employment gap in the sector (services) that employs the largest share of men and women. In terms of labor market adjustment, the narrowing of the gender employment gap is initially driven by a reduction in the gender unemployment gaps that, over time, results in an adjustment in the gender labor force participation gap—with men’s labor force participation dropping more than women’s. The effects are larger in countries with more flexible labor market regulations, higher gender wage gaps, and lower informal women’s employment compared to men’s. Finally, the effects are also larger for contractionary monetary policy shocks and during expansions.