24 Pages Posted: 10 Jul 2013
Date Written: July 8, 2013
Although the concept of the sampling distribution is at the core of much of what we do in econometrics, it is a concept that is often difficult for students to grasp. The thought process behind bootstrapping provides a way for students to conceptualize the sampling distribution in a way that is intuitive and visual. However, teaching students to write bootstrapping code on their own would come at great expense in terms of instruction time. I propose the use of instructor-written macros as a balance between these opposing interests. I focus on the use of the nonparametric “pairwise” bootstrap procedure in order to make an intuitive link between bootstrapping and sampling from a population, which is one of the first ideas students meet in statistics.
Keywords: Teaching, Bootstrapping, Sampling Distribution
JEL Classification: A20, A22, C15
Suggested Citation: Suggested Citation