Using pseudo cohorts to track changes in the qualifications of national populations

Pseudo cohorts are 'artificially created data sets constructed from repeated cross-sections'. They enable analysis of the extent to which the growth in qualifications held by the population is a result of skill upgrading as individuals age, and to what extent it is caused by new, more highly educated cohorts entering the workforce to replace older, less well-qualified workers. This report details such an analysis undertaken for the UK, France, Germany and the US. The analysis considers three cohorts: the first is aged 19-21 in 1985, and is then observed again in 1991 when its members are aged 25-27, and in 1997, when they are aged 31-33; the second cohort is constructed so that its members are aged 19-21 in 1991, 25-27 in 1997 and 31-33 in 2003; and the third cohort created is aged 19-21 in 1997, and 25-27 in 2003. The report considers the results for the UK and then compares those in the other countries. The report concludes that, although the education level of young people in the UK is rising (both within and between cohorts), gains are only being made in some respects on the other countries in terms of closing the skills gap. Show less