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Course Description: This course introduces Masters students to STATA, and applying concepts learned in theoretical using programming skills. The first part of the course focuses on learning programming and data management basics. The second part explores how to implement a range of methodologies including OLS, Panel, non-linear models, and quasi-experiments.

This course supports students working on their Master Thesis project for their first-year Master Thesis. It is designed to help students not familiar with academic research design and complete their thesis project. Part 1 of the course explores developing an innovative research idea, situating one's work in the literature, and identifying data. Part 2 of the course covers how to approach empirical analysis and how to structure an academic paper. Students are provided with the opportunity for one-on-one advising for their questions on practical research skills.