Tyler Ransom

Econometrics In-class Labs

tidyverse cheat sheet (PDF)

During most class periods, my introductory econometrics students work on labs in small groups (2-3 students). These are meant to introduce coding concepts and to gain hands-on experience with econometric estimators. Below is a complete list of labs, available in three different file formats. Labs are also available in a GitHub repository (see GitHub for license details).

1. Intro to R, basic data cleaning steps
   HTML       PDF      R Markdown
2. Basic hypothesis testing and simple linear regression
   HTML       PDF      R Markdown
3. More practice with bivariate linear regression: nonlinear transformations, visualization, formulas
   HTML       PDF      R Markdown
4. Multivariate linear regression
   HTML       PDF      R Markdown
5. Omitted variable bias and multicollinearity
   HTML       PDF      R Markdown
6. Dummy variables and Linear Probability Models
   HTML       PDF      R Markdown
7. Single hypothesis testing of regression parameters
   HTML       PDF      R Markdown
8. Joint hypothesis testing of regression parameters
   HTML       PDF      R Markdown
9. Heteroskedasticity-robust inference
   HTML       PDF      R Markdown
10. Intro to time series data and serial correlation
    HTML       PDF      R Markdown
11. How to use data from IPUMS and other R packages
    HTML       PDF      R Markdown
12. Instrumental variables estimation
    HTML       PDF      R Markdown
13. 2SLS estimation
    HTML       PDF      R Markdown
14. Time series forecasting
    HTML       PDF      R Markdown
15. Pooled OLS, Random Effects, and Fixed Effects estimation
    HTML       PDF      R Markdown
16. Difference in Differences estimation
    HTML       PDF      R Markdown