Quantifying gender distances in education, occupation and employment

In: Equality, diversity and inclusion: an international journal, Band 36, Heft 4, S. 340-361

Abstract

PurposeThe purpose of this paper is to investigate the role of gender in education, occupation and employment in Southern Europe and more specifically in Greece, Italy, Portugal and Spain. The goal is to provide measures that can trace gender differences with respect to their educational and employment features in these countries, explore whether these differences converge over time and compare the patterns observed in each country given their socio-economic similarities.Design/methodology/approachThis paper uses raw data drawn from the European Social Survey (ESS) for the decade 2002-2012. It provides a method for quantifying gender differences in education, occupation and employment and their evolution over time based on distance measures.FindingsThe results reveal that gender distances in education have gradually subsided in these countries. However, occupational choices differ steadily over the years for all countries. The paper provides, therefore, solid evidence that equalizing the level of education between men and women during those years did not result in a decrease in the occupational distances between them. Moreover, based on the latest round the findings suggest that men and women are equally likely to having experienced unemployment within the last five years.Research limitations/implicationsFurther research could be done to include results based on raw data from the seventh round of the ESS. This may provide valuable information for Spain and Portugal who did participate in this round.Social implicationsThis research implies that more needs to be done to accelerate progress in order to achieve gender occupational equality in Southern Europe.Originality/valueThis paper draws attention to issues concerning gender differences in education, horizontal and vertical segregation and employment for which it provides distance measures and evidence of how they have evolved over time, based on raw data analysis from the ESS.