PIAAC pooled county data

The dataset contains a PIAAC survey (rounds 1 and 2) pooled sample of 17 European countries, including Belgium, Czech Republic, Denmark, Estonia, Finland, France, Greece, Ireland, Italy, Lithuania, Netherlands, Norway, Poland, Slovakia, Slovenia, Spain, and Great Britain.
The source data-files are public used files from https://www.oecd.org/skills/piaac/data/

The data was cleaned and arranged according to the research questions addressed in the paper "Gender disparities in wage returns to human capital components: How different are European labour markets?" (forthcoming in the Baltic Journal of Economics).

Specifically, the paper investigates the gender wage gap in relation to the multi-dimensional human capital measure, asking the question which human capital components are most valued in the European labour markets.
Relying on the Programme of International Assessment of Adult Competencies (PIAAC) data for seventeen European countries and applying Gelbach (2016) decomposition, we document remarkable cross-country disparities in the returns to different human capital components.
The only dimension that consistently and significantly decreases gender wage disparities in all countries is work experience related to a currently occupied job. Women’ shorter job-specific experience often stem from family reasons indicating that women adjust their labour market behaviour and skills’ developments with current conditions more often than men do. Numeracy cognitive ability and job-specific cognitive and non-cognitive skills are additional strong predictors of the gender wage disparity.