Last week I was able to meet Linda Ghent at the National Economics Teaching Association Conference in Austin, Tx. Little did I know that Linda was the author of one of my favorite economics sources: YadaYadaYadaEcon.com, which covers Seinfeld if you didn't catch the reference.
If you like economics or you like Seinfeld, please check it out.
Focused on exposing the underlying economics behind humans' favorite activities. Why sports teams shouldn't be punting on fourth down and why Walmart dumps their Halloween candy the day after Halloween. Our lives are surrounded by economics, but most people don't take the time to stop and think about what's going on. This site is aimed at pointing out economics where you may have never seen it before.
Showing posts with label Economics. Show all posts
Showing posts with label Economics. Show all posts
Monday, October 28, 2013
Don't Forget About Seinfeld!
Labels:
Economics,
real life economics,
Seinfeld,
Teaching
Tuesday, May 28, 2013
Twitter and Economics?
Yes! Of course Twitter is part of economics. Each day there are millions of users supplying content at essentially no cost (granted, some of it is more valuable than others). At the exact same time (unless your Kanye West), there are people you can follow and get updates from. Every fraction of a second, supply and demand factors are occurring right in front of our computer screens. What does this have to do with economics you ask? Who you decide to follow is a choice, and that choice is based on some characteristics of the individual. For the most part, we follow our friends, a few fast food restaurants, and some celebrities.
Using Regular Express, a colleague and I have captured demand characteristics for pundits. We evaluate whether a professional prognosticator, like Nate Silver, earns more followers (more demand) whenever they supply confidence or accuracy. We collected tweets from the 2012 MLB playoffs and World Series, the 2013 NFL Super Bowl, and currently combing through the 2013 NCAA March Madness tournament. Our samples are based on demand for professional pundits (verified Twitter accounts), self-proclaimed professionals (based on their Twitter bio), and the general public.
The results might surprise you!
Thank you to WSU News for covering our research. If you're interested in reading the more technical results, they can be found on my colleague's site.
Using Regular Express, a colleague and I have captured demand characteristics for pundits. We evaluate whether a professional prognosticator, like Nate Silver, earns more followers (more demand) whenever they supply confidence or accuracy. We collected tweets from the 2012 MLB playoffs and World Series, the 2013 NFL Super Bowl, and currently combing through the 2013 NCAA March Madness tournament. Our samples are based on demand for professional pundits (verified Twitter accounts), self-proclaimed professionals (based on their Twitter bio), and the general public.
The results might surprise you!
Thank you to WSU News for covering our research. If you're interested in reading the more technical results, they can be found on my colleague's site.
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