This is a 3-part short course (held over three afternoons). Stata part 1 will offer an introduction to Stata for Windows. Part 2 will teach entering data in Stata, working with Stata do files, and show how to append, sort, and merge data sets in Stata. Part 3 teaches how to perform basic statistical procedures and how to draw sub samples from large datasets.

These are the different datasets used in the analysis of the relation between protest, protest campaigns, and armed conflict in Colombia and South Africa. Different files are included. 1. Excell file containing a description of the different variables and their sources 2. Stata file of the data (appended data) and stata file for each hypothesis 3. Do file for the analysis used for undertaking the statistical analysis.

Code and data to reproduce all results and graphs reported in Tannenbaum et al. (2022). This folder contains data files (.dta files) and a Stata do-file (code.do) that stitches together the different data files and executes all analyses and produces all figures reported in the paper. The do-file uses a number of user-written packages, which are listed below. Most of these can be installed using the ssc install command in Stata. Also, users will need to change the current directory path (at the start of the do-file) before executing the code. List of user written packages (descriptions): revrs (reverse-codes variable) ereplace (extends the egen command to permit replacing) grstyle (changes the settings for the overall look of graphs) spmap (used for graphing spatial data) qqvalue (used for obtaining Benjamini-Hochberg corrected p-values) parmby (creates a dataset by calling an estimation command for each by-group) domin (used to perform dominance analyses) coefplot (used for creating coefficient plots) grc1leg (combine graphs with a single common legend) xframeappend (append data frames to the end of the current data frame)