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, and Siyuan Niu ’21 provided excellent research assistance.

The Simulations (Most recent update: March 5, 2021.)

Working Paper: Byker, Tanya, Amanda Gregg, and Dylan Mortimer. “Interactive Web-based Simulations to Teach Econometrics: Making Abstract Concepts Tangible.” Version: March 2021. Link

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.