Economics PhD Applicant | Applied Micro | Education & Labor Policy
Recent graduate from Bocconi University with a strong interest in applying causal inference methods to investigate the impact of public policy on education and labor market outcomes. Currently preparing applications for PhD programs in Economics, with the aim of beginning doctoral studies in Fall 2026.
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📬 federico.arlati [at] unibocconi.it
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Thesis: The Impact of Automation on Educational Outcomes
Investigated how exposure to automation influences individual decisions related to college enrollment and field of study. Used micro data from the ACS and commuting zone-level automation shocks based on a Bartik instrument. Employed regression analysis to examine heterogeneity across birth cohorts and gender, with a focus on long-run changes in educational investment patterns.
Research Assistant – Bocconi University (Social Inclusion Lab)
Assisted with multiple research initiatives focused on education, aspirations, and social inclusion among youth in Milan. Responsibilities included survey implementation in schools, data cleaning and analysis, and literature review across topics such as educational inequality and access. Supported neighborhood-level assessments of social inclusion and contributed to the design and evaluation of policy-relevant interventions.
(coming soon)
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