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Pulling Econometrics Students up by Their Bootstraps

Michael O'Hara

Colgate University

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.

Number of Pages in PDF File: 24

Keywords: Teaching, Bootstrapping, Sampling Distribution

JEL Classification: A20, A22, C15

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Date posted: July 10, 2013  

Suggested Citation

O'Hara, Michael, Pulling Econometrics Students up by Their Bootstraps (July 8, 2013). Available at SSRN: https://ssrn.com/abstract=2291034 or http://dx.doi.org/10.2139/ssrn.2291034

Contact Information

Michael O'Hara (Contact Author)
Colgate University ( email )
13 Oak Drive
Hamilton NY 13346, NY 13346
United States
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