Special Issue: Statistical Methods in the Economics of Education

Guest Editors

Dr. Carmen Pérez-Esparrells
Department of Economics and Public Finance, Autonomous University of Madrid, and Research Institute for Science and Higher Education, INAECU, UC3M-UAM, Spain
Email: carmen.perez@uam.es


Dr. Sara González-Betancor
Department of Quantitative Methods in Economics and Management, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017, Las Palmas de Gran Canaria (Canary Islands), Spain
Email: sara.gonzalez@ulpgc.es

Manuscript Topics


The field of Economics of Education has evolved from the intersection of economic and educational research. It is defined as the study of economic issues related to education, and the application of economic techniques, theories, and concepts to any educational matter.


Mathematics have been applied in Economics of Education problems since the origins of this field. Nowadays, mathematical modeling plays an increasing role in Economics of Education. A key objective of mathematical modeling in this field is to enhance the evaluation of educational polices.


This special issue aims to showcase current high-quality papers using classical or advanced mathematical models applied to Economics of Education. Proposals should incorporate a substantial mathematical component for analysis. This special issue welcomes contributions with a mathematical focus that address issues involving extensive and/or complex data. Potential papers may cover, but are not limited to, the following topics:

• Comparative education
• Evaluation of educational policies
• Economic impact of education
• Educational production
• Educational outcomes
• Equity and inequality

Review papers on meaningful topics in Economics of Education using statistical methods are always encouraged.


Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 June 2024

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