Syllabus
Updated A.Y. 2023-2024
Stata
The ultimate goal of the course is to enable students to answer a research question via processing and analyzing data on Stata, interpreting the output of the analysis, and presenting it in a publication-quality style. The course will cover the basics of Stata (syntax; do and dta files), data management, descriptive statistics (graphs and tables), estimation and interpretation of an OLS regression.
Assessment
During the course, there will be three hands-on-data sessions of 30 minutes, which will also constitute the intermediate evaluation (if attending in presence, see section Attendance). Passing the three exercises will guarantee an exemption for the Stata part of the Coding exam. The exemption will last for the current academic year.
Students not taking or passing the exercises can take the Stata part of the Coding exam on any regular call.
Attendance
The course is held in presence. Students with stringent motivations can attend online only in synchronous modality (recording is not allowed). Students following the course remotely can participate in the hands-on-data sessions to exercise, but this will not constitute an intermediate evaluation and, therefore, will not guarantee the exam exemption.
Software
Classes are held in a computer room. Students willing to use their laptops during classes are required to download and install Stata before the first class; to download the installer and activation codes, follow this link https://economia.uniroma2.it/en/def/software
References
- Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using Stata. Ed.: Stata press - Chapters 1, 2 and 3.
- Bourke (2018). Computer Science I. available at https://cse.unl.edu/~cbourke/ComputerScienceOne.pdf