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Program

Updated A.Y. 2022-2023

OVERVIEW AND PREREQUISITES

This course provides an introduction to Stata and Python tools useful for economic applications. It is a lab course.

 

ASSESSMENT

Intermediate tests will be proposed at the end of each class. Students having a positive evaluation on all the intermediate tests will earn a final 'pass' grade. A final oral exam is possible at the teacher's discretion for students with a negative evaluation on a maximum of 2 (out of 6) intermediate tests and non-attending students.

 

OUTLINE

The lectures are introductory and are meant to introduce the sudents to the the following:

Stata

  1. Introduction to Stata;
  2. Data and datasets;
  3. Data management;
  4. Automating tables and graphs;
  5. Do file programming;
  6. Mata - the matrix programming language of Stata - basics and optimization tools.

Python

  1. Python basic syntax;
  2. Python key strengths for web scraping;
  3. The most widely used tools and modules;
  4. Programming best practices (secondary).

 

TEXTBOOKS AND MATERIAL

Stata

The primary material consists of notes, Stata manuals, and Stata codes that will be posted in the material section

For further practice, I recommend the following online resources: the Stata blog and the learning center at UCLA. A good introduction to Stata programming is 

Baum C.F., (2016), Introduction to Stata programming, 2nd ed., Stata press.

 

Python