Tyler Ransom

Assistant Professor of Economics
University of Oklahoma

Research Affiliate
Institute for the Study of Labor (IZA)

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Department of Economics
University of Oklahoma
322 CCD1, 308 Cate Center Drive
Norman, OK 73072

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. Weighting and cluster-robust inference
    HTML       PDF      R Markdown

  11. Working with time series data & testing for serial correlation
    HTML       PDF      R Markdown

  12. Working with time series data & correcting for serial correlation
    HTML       PDF      R Markdown

  13. Instrumental variables estimation
    HTML       PDF      R Markdown

  14. 2SLS estimation
    HTML       PDF      R Markdown

  15. Time series forecasting
    HTML       PDF      R Markdown

  16. Pooled OLS, Random Effects, and Fixed Effects estimation
    HTML       PDF      R Markdown

  17. Difference in Differences estimation
    HTML       PDF      R Markdown