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Barn­a­bas Fa­bi­an Bakay

Ph.d. Fellow

Subjects
Economics Machine learning Education Methodology Analysis Data Quantitative methods Job market Public sector Society Welfare Future Immigration Equality Europe Northern Europe Denmark

Re­search for in­clus­ive edu­ca­tion and labor mar­kets

My research examines how education systems can reduce inequality and support students in building successful careers. I focus on the interaction between financial support, academic progression, and labor market integration, with the aim of informing education reform and policy design. 

A key strand of my work analyzes the impact of student aid on study completion and long-term attachment to the Danish labor market. Another centers on vocational education, where dropout rates reach nearly 50%. Here, I contribute to Os I Branchen (“Us in the Industry”), an experimental project that connects students with their future industry from day one and strengthens peer networks to improve well-being and persistence. 

By combining advanced econometric methods with survey and register data, my research provides evidence on how targeted interventions can help erase educational inequalities, improve student well-being, and guide policymakers in creating more resilient and inclusive labor market institutions. 

Recent research projects

Stu­dent Aid and Stu­dent's Out­comes in Den­mark

Stu­dent Aid and Stu­dent's Out­comes in Den­mark

This pro­ject ex­am­ines Den­mark’s 2013 re­form ex­tend­ing stu­dent aid (SU) to EU stu­dents who worked part-time. Us­ing rich ad­min­is­trat­ive data and caus­al in­fer­ence meth­ods, it ana­lyzes how work-linked aid shaped stu­dents’ labor sup­ply, aca­dem­ic pro­gres­sion, and post-gradu­ation in­teg­ra­tion in Den­mark.

A Large-scale In­ter­ven­tion in Dan­ish Vo­ca­tion­al Edu­ca­tion

This pro­ject stud­ies vo­ca­tion­al school stu­dents’ per­form­ance, well-be­ing, and dro­pout rates through the Os I Branchen­ex­per­i­ment, which links stu­dents to their in­dustry from day one and fosters peer con­nec­tions. Us­ing sur­vey and re­gister data with mod­ern eco­no­met­ric meth­ods, it ex­am­ines com­ple­tion, in­equal­ity, and labor mar­ket trans­itions.