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Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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Econometrics TD: Introduction to Data Analysis and Causal ID in Stata

2024–2025, 2025-2026
Tutorial Course
Main Professor: Morgane Laouenan, Jérôme Héricourt
Language: English
Description: 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.

Master Thesis Seminar

2024–2025, 2025-2026
Master Research Workshop
Language: English
Description: 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.