This paper contributes to a better understanding of the impact of global value chains (GVCs) on jobs and productivity by providing new evidence on employment embodied in value-added trade flows. Linking jobs data to the Trade in Value-Added (TiVA) indicators first highlights that a large share...

The support that governments provide to their industrial producers has been a growing source of concern. Much of that support is provided by governments through the financial system, either in the form of below‑market borrowings or below-market equity. To better understand the nature and scale...

Against the background of rising anti-globalisation sentiment, this report argues that, while there are good reasons for some people to be angry, trade is not the root of many problems, nor can it solve them on its own. What is needed is an integrated approach to make the whole system work...

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...

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...