Using Shiny to Teach Econometric Models

Shawna K. Metzger (University of Virginia)

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English

Cambridge University Press
20 May 2021

Politics & government; Computer programming & software development; Program concepts & learning to program; Programming & scripting languages: general

Series: Elements in Quantitative and Computational Methods for the Social Sciences

Summary
Details

This Element discusses how shiny, an R package, can help instructors teach quantitative methods more effectively by way of interactive web apps. The interactivity increases instructors' effectiveness by making students more active participants in the learning process, allowing them to engage with otherwise complex material in an accessible, dynamic way. The Element offers four detailed apps that cover two fundamental linear regression topics: estimation methods (least squares, maximum likelihood) and the classic linear regression assumptions. It includes a summary of what the apps can be used to demonstrate, detailed descriptions of the apps' full capabilities, vignettes from actual class use, and example activities. Two other apps pertain to a more advanced topic (LASSO), with similar supporting material. For instructors interested in modifying the apps, the Element also documents the main apps' general code structure, highlights some of the more likely modifications, and goes through what functions need to be amended.

By: Shawna K. Metzger (University of Virginia)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 227mm, Width: 150mm, Spine: 7mm
Weight: 190g
ISBN: 9781108793407
ISBN 10: 1108793401
Series: Elements in Quantitative and Computational Methods for the Social Sciences
Pages: 75
Publication Date: 20 May 2021
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active