Even though firms play a key role in shaping wages, wage inequality and the gender wage gap, firms have so far only featured to a limited extent in the policy debates around these issues. The evidence in this volume shows that around one third of overall wage inequality can be explained by gaps...

This review contributes to a better understanding of the gender wage gap in Germany and puts forward key elements of a policy package to reduce gender pay gaps. It provides a detailed analysis of the role of firms in the gender wage gap by focusing on the pay gap between similarly skilled men...

Women continue to earn less than men, in spite of major societal changes over decades and many labour market, educational and public policy initiatives that have targeted the gender wage gap. To address this persistent challenge, many governments are now mandating promising new pay transparency...

This subset of the OECD Employment and Labour Market Statistics Database contains three earnings-dispersion measures broken down by gender - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise...

The demand and supply of tertiary workers contribute to shaping their earnings advantage. The expansion of tertiary education has been accompanied by a decrease in the earnings advantage of tertiary-educated younger and older workers in many OECD and partner countries. Tertiary-educated workers...

This subset of the OECD Employment and Labour Market Statistics Database contains three earnings-dispersion measures broken down by gender - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise...

This subset of the OECD Employment and Labour Market Statistics Database contains three earnings-dispersion measures broken down by gender - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise...

This subset of the OECD Employment and Labour Market Statistics Database contains three earnings-dispersion measures broken down by gender - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise...

This subset of the OECD Employment and Labour Market Statistics Database contains three earnings-dispersion measures broken down by gender - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise...