This 3-part Stata workshop will take place in a teaching computer lab environment, using publicly available data replicating a published economics paper.
DAY ONE will cover:
- Getting a dataset into Stata (no previous knowledge expected)
- Examining a dataset and finding variables of interest
- Summarizing and tabulating variables
- Stata specific tools and resources (do files, logs, help files, etc) Coding and cleaning data (making new variables from old variables; labeling variables and values, etc)
- Using logical operators in Stata
- Cross-tabulations
- Correlation tables
DAY TWO will cover:
- Basic graphs (histograms, bar graphs, scatter plots)
- Correlation tables
- Scales
- T-tests
- OLS and logistic regression (basic syntax, using interaction terms, interpreting output)
- Regression post-estimation (getting predicted values, basic graphs)
Day 3 will cover:
- Loops (foreach, forvalues)
- Using local and global macros
- Regression analysis (mostly linear, but also logistic)
- Regression post-estimation
- Generating nicely formatted journal-style tables
- Recalling and using regression output
A basic understanding of variables (nominal, ordinal, continuous), descriptive stats (mean, standard deviation), correlation, and regression would be assumed.
