https://github.com/jldbc/sports-econometrics
Analytics Projects from Sports Econometrics (EC3700) -- a course on advanced methods in cross-sectional econometrics with a focus on sports data
https://github.com/jldbc/sports-econometrics
Last synced: 5 months ago
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Analytics Projects from Sports Econometrics (EC3700) -- a course on advanced methods in cross-sectional econometrics with a focus on sports data
- Host: GitHub
- URL: https://github.com/jldbc/sports-econometrics
- Owner: jldbc
- Created: 2016-02-02T01:40:48.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2016-07-01T06:20:04.000Z (about 10 years ago)
- Last Synced: 2025-10-24T11:47:22.970Z (9 months ago)
- Language: Stata
- Size: 36.5 MB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Sports-Econometrics
Analytics Projects from Sports Econometrics (EC3700) -- a course on advanced methods in cross-sectional econometrics with a focus on sports data
## Projects
* Jimmy Johnson Value Curve: estimating the weibuill-distribution value curve observed in the market for NFL draft picks
* OBP vs. SLG: comparing the predictive power of OBP, SLG, and OPS over MLB wins, and improving upon the established SLG metric
* RPI: examining the extent to which RPI explains March Madness outcomes and revisiting the established ratios assigned to its components
* Wednesday Topic Presentation: Do Defenses Win Championships? (hint: of course, but so do offenses)
* Term Paper: Tennis Ratings Models. Examining ATP and WTA ratings' predictive powers in Grand Slam tennis matches, and comparing these to lesser-used Elo, RPI, and PageRank models