Section 2 briefly discusses the benefits and drawbacks of the dataset that is employed in the empirical analysis before presenting the estimation results.1 The article is complemented by an annex which provides further details on the dataset and the empirical results. Mincer-type earnings functions have since been estimated by a large number of studies, including, among others, Fortin (2006), Heckman et al. ( Numerous supplementary variables have since been added to earnings functions, including gender, ethnicity and union membership, among others (e.g. Polachek, 2007). Following this literature and keeping the model simple to ensure comparability across countries, this article starts by estimating a baseline model which relates the logarithm of an individual’s gross monthly labour earnings to the logarithm of working hours, gender, age and age squared, and the highest education level attained.