Using Shiny to Teach Econometric Models

Shiny, an R package, helps instructors teach quantitative methods more effectively through interactive web apps, making students more active participants and engaging with complex material in an accessible way. It offers four detailed apps covering estimation methods and classic linear regression assumptions, with two other apps on a more advanced topic. The Element provides documentation for modifying the apps and example activities.

\n Format: Paperback / softback
\n Length: 75 pages
\n Publication date: 20 May 2021
\n Publisher: Cambridge University Press
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Shiny, an R package, offers a powerful solution for instructors looking to enhance their teaching of quantitative methods. By leveraging interactive web apps, Shiny empowers students to become active participants in the learning process, enabling them to engage with complex material in a more accessible and dynamic manner. The Element provides four detailed apps that cover two fundamental topics in linear regression: estimation methods (least squares and maximum likelihood) and classic linear regression assumptions. These apps are accompanied by a comprehensive summary, detailed descriptions of their capabilities, vignettes from actual classroom use, and example activities. Additionally, two other apps delve into a more advanced topic (LASSO), accompanied by similar supporting material. For instructors interested in customizing the apps, Shiny offers valuable documentation that outlines the general code structure, highlights potential modifications, and guides the necessary amendments to specific functions. By utilizing Shiny, instructors can create engaging and interactive learning experiences that help students better understand and apply quantitative methods, ultimately improving their academic performance.

\n Weight: 192g\n
Dimension: 228 x 151 x 10 (mm)\n
ISBN-13: 9781108793407\n \n