Abstract
While men have always received more education than women in the past, this gender imbalance in education has turned around in large parts of the world. In many countries, women now excel men in terms of participation and success in higher education. This implies that, for the first time in history, there are more highly educated women than men reaching the reproductive ages and looking for a partner. We develop an agent-based computational model that explicates the mechanisms that may have linked the reversal of gender inequality in education with observed changes in educational assortative mating. Our model builds on the notion that individuals search for spouses in a marriage market and evaluate potential candidates based on preferences. Based on insights from earlier research, we assume that men and women prefer partners with similar educational attainment and high earnings prospects, that women tend to prefer men who are somewhat older than themselves, and that men prefer women who are in their mid-twenties. We also incorporate the insight that the educational system structures meeting opportunities on the marriage market. We assess the explanatory power of our model with systematic computational experiments, in which we simulate marriage market dynamics in 12 European countries among individuals born between 1921 and 2012. In these experiments, we make use of realistic agent populations in terms of educational attainment and earnings prospects and validate model outcomes with data from the European Social Survey. We demonstrate that the observed changes in educational assortative mating can be explained without any change in male or female preferences. We argue that our model provides a useful computational laboratory to explore and quantify the implications of scenarios for the future.
Highlights
The demography of educational attainment has important implications, not just for the individuals concerned, and for long-term economic growth [1]
The IIASA/VID, European Community Household Panel (ECHP), and European Social Survey (ESS) measure education based on the International Standard Classification of Education (ISCED), but some categories are combined in the IIASA/VID data
We have developed an agent-based computational model that explicates some of the mechanisms that might have linked the reversal of gender inequality in higher education with observed changes in educational assortative mating across Europe
Summary
The demography of educational attainment has important implications, not just for the individuals concerned, and for long-term economic growth [1]. One potentially important source of complexity in the relation between changes in the relative educational attainment of men and women and EAM is the fact that individuals evaluate potential mates based on preferences for multiple characteristics These preferences can contribute differently to patterns of EAM, depending on the structure of the marriage market. When agents assess each other’s mate value, we assume that they anticipate the highest educational level a potential partner will ever attain and how high his/her life-time earnings prospects will be. Eq (5) holds that older agents are generally more likely to propose marriage/accept proposals, and this likelihood increases with the mate value of their partner (vij), the length of their relationship (ci), the age pressure (σ), and the commitment factor (β).
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