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An Agent-Based Model for Tertiary Educational Choices in Italy
1University of Leicester, Business School Leicester, Leicester, UK.
Research in Higher Education
|December 20, 2021
Summary
Higher education enrollment in Italy is low. Increasing the income gap between skilled and unskilled workers, not financial aid, significantly boosts university attendance, suggesting labor market policies are key.
Area of Science:
- Socioeconomics
- Educational Policy
- Computational Social Science
Background:
- Italy faces low university attainment despite accessible education.
- Understanding enrollment determinants is crucial for policy.
- Agent-based modeling offers insights into complex systems.
Purpose of the Study:
- To model Italian university enrollment decisions.
- To analyze factors influencing higher education choices.
- To evaluate policy interventions for increasing enrollment.
Main Methods:
- Developed an agent-based model of the Italian higher education system.
- Incorporated economic motivations, social network influence, and effort.
- Simulated scenarios with varying financial support and income gaps.
Main Results:
- The model replicates key features of the Italian system, including low income and reliance on scholarships.
- Expanded financial support policies showed minimal impact on enrollment.
- An increased income gap between skilled and unskilled workers significantly raised university enrollment.
Conclusions:
- Labor market policies, specifically widening the skilled-unskilled income differential, are more effective than financial aid in increasing higher education enrollment.
- Individual enrollment decisions are driven by economic expectations, peer influence, and perceived effort.
- Policy interventions should consider the interplay between education and labor market dynamics.
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