Statistics Simulations Project

My colleague Tanya Byker and I developed these simulations to enhance our teaching of statistics and econometrics at Middlebury College. Kevin Serrao ’18, Dylan Mortimer ’19, Ammar Almahdy ’20, Jacqueline Palacios ’20, Siyuan Niu ’21, David Gikoshvili ’21, and Ethan Saxenian ’22 provided excellent research assistance.

The Simulations (Most recent update: August 26, 2021. Code repository).

Working Paper: Byker, Tanya, Amanda Gregg, and Dylan Mortimer. “Interactive Web-based Simulations to Teach Econometrics: Making Abstract Concepts Tangible.” Forthcoming and Available Online, Journal of Economics Teaching.

Video Walkthroughs
Law of Large Numbers
Central Limit Theorem: Basics
Central Limit Theorem: Additional Teaching Ideas
Joint Distributions
Omitted Variable Bias
Ordinary Least Squares

Instructor Materials
Law of Large Numbers
Central Limit Theorem
Joint Distributions
Least Squares Regression
Omitted Variable Bias

Please use the form below to let us know if you’ve found any bugs!
We’d also love to hear from you if you’ve used the simulations in class.