As a result, the causes of existing gender-related inequalities are taken into (even) greater consideration. The additional information provided can also help to better predict the expected effects of certain policies prior to policy decisions. First, additional data on self-employment by men and women could support the development of differentiated policy recommendations for (dependent) employees and self-employed persons. In addition, the Gender Overall Earnings Gap provides no added value. Assessing the progress by means of the data underlying this synthetic indicator seems more appropriate. Furthermore, as part of the indicators in the area of economic decision-making, focusing on the macroeconomic level rather than on a particular group of the largest companies would result in important additional insights. Despite technical constraints, disaggregation by age may be particularly useful, for example to highlight the special significance of reconciling work and family life.