References

Angrist, J. D., and J. S. Pischke. 2014. Mastering ’Metrics: The Path from Cause to Effect. Princeton University Press. https://books.google.com/books?id=dEh-BAAAQBAJ.
Angrist, Joshua, and Jorn-Steffen Pischke. 2010. “A Note on Bias in Conventional Standard Errors Under Heteroskedasticity.” https://econ.lse.ac.uk/staff/spischke/mhe/josh/Notes%20on%20conv%20std%20error.pdf.
Bryan, Jennifer. n.d. Gapminder: Data from Gapminder.
Cunningham, Scott. 2021. The Mixtape. New Haven: Yale University Press. https://doi.org/doi:10.12987/9780300255881.
Dougherty, C. 2016. Introduction to Econometrics. Oxford University Press. https://books.google.com/books?id=Q5cMEAAAQBAJ.
Hill, Andrew J. 2015. “The Girl Next Door: The Effect of Opposite Gender Friends on High School Achievement.” American Economic Journal: Applied Economics 7 (3): 147–77. https://doi.org/10.1257/app.20140030.
Huntington-Klein, Nick. 2021. The Effect: An Introduction to Research Design and Causality. 1st ed. Chapman; Hall/CRC. https://doi.org/10.1201/9781003226055.
Lim, Milton, COVID-19 Mortality Working Group, Mike Callan, Actuaries Institute, James Pyne, Chris Dolman, Kitty Chan, and John Connor. 2021. “Gauss, Least Squares, and the Missing Planet.” Actuaries Digital. https://www.actuaries.digital/2021/03/31/gauss-least-squares-and-the-missing-planet/#:~:text=The%20early%20history%20of%20statistics,subject%20to%20random%20measurement%20errors.
Rubin, Ed. 2022. “Economics 421: Introduction to Econometrics.” Github. https://github.com/edrubin/EC421W22.
Speegle, Darrin, and Bryan Clair. 2021. “Data for the Dplyr Murder Mystery.” https://rdrr.io/github/speegled/dplyrmurdermystery/.
Wickham, H. 2014. Advanced r. Chapman & Hall/CRC the r Series. Taylor & Francis. https://adv-r.hadley.nz/.
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. O’Reilly Media, Inc. https://r4ds.had.co.nz/.