paper.bib

@Manual{scrapr,
    title = {{nflscrapR: Compiling the NFL Play-by-Play API for easy use in R}},
    author = {Horowitz, Maksim and Yurko,Ron and Ventura, Samuel},
    year = {2020},
    note = {R package version 1.8.3},
    url = {https://github.com/maksimhorowitz/nflscrapR}
}

@online{yurko,
title = {{nflscrapR-data repository}},
author = {Yurko, Ron},
year = {2020},
url = {https://ryurko.github.io/nflscrapR-data/},
urldate = {2020-10-30}
}

@Manual{r,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2020},
    url = {https://www.R-project.org/}
}

@online{statsbylopez,
title = "Estimating NFL drive outcomes under rules that don't exist",
author = {Lopez, Mike},
year = {2019},
url = {https://statsbylopez.netlify.app/post/resampling-nfl-drives/},
urldate = {2020-11-10}
}

@article{yam2019lost,
  title={What was lost? {A causal estimate of fourth down behavior in the National Football League}},
  author={Yam, Derrick R and Lopez, Michael J},
  journal={Journal of Sports Analytics},
  volume={5},
  number={3},
  pages={153--167},
  year={2019},
  publisher={IOS Press},
  doi={10.3233/JSA-190294}
}

@article{romer2006firms,
  title={Do Firms Maximize? {E}vidence from Professional Football},
  author={Romer, David},
  journal={Journal of Political Economy},
  volume={114},
  number={2},
  pages={340--365},
  year={2006},
  publisher={The University of Chicago Press},
  doi={10.1086/501171}
}

@online{fdbot,
  author = {Burke, Brian and Quealy, Kevin},
  title = {{New York Times Forth Down Bot}},
  year = 2013,
  url = {https://www.nytimes.com/newsgraphics/2013/11/28/fourth-downs/post.html},
  urldate = {2020-09-24}
}