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Francesca Marazzi, a postdoctoral researcher at CEIS Tor Vergata, will present this introduction to data analysis using the statistical software STATA. The ultimate goal of the course is to enable students to answer a research question via processing and analyzing data, interpreting the output of an analysis, and presenting it in a publication-quality style. The course is of specific interest to students interested in doing an empirical thesis or wanting to continue their academic career by way of a PhD program. Students will participate actively in the seminar sessions and will run their own empirical analysis. Working in groups will be encouraged. In order to receive extra activity credit, students must be present for each lesson (no less than 80% attendance).  

In particular, students will learn about:

- importing data from Excel

- data management and descriptive statistics

- making the reader understand a graphical representation of the data

- building maps in STATA to represent spatial distributions

- interpreting the output of a simple OLS regression

- exporting publication-style tables and graphs

Students can access the STATA software here. Simply login and follow the instructions to receive the email containing the link to download the activation codes (pdf file). 

To participate, please sign up here.


Seminar Dates for 2023

Seminar Times (Classroom S2)

Tuesday, 7 November 2023 9:00-11:00 am 
Wednesday, 8 November 2023 2:00-4:00 pm 
Wednesday, 15 November 2023 2:00-4:00 pm
Wednesday, 22 November 2023 2:00-4:00 pm
Friday, 24 November 2023 11:00-13:00 am 
Thursday, 30 November 2023 9:00-11:00 am 
Friday, 1 December 2023 11:00-13:00 am 
Thursday, 7 December 2023 9:00-11:00 am
Wednesday, 13 December 2023 2:00-4:00 pm
Friday, 15 December 2023 (EXAM) 11:00-13:00 am 


Students may earn university credits for this activity if they attend at least 80% of the lectures and pass the final exam. Details about the exam date and the foreseen form of evaluation will be provided by the professor at the start of the seminar.