2 citations · 2 across the 4 of their papers we have counts for
5 papers
Estimating the change in soccer's home advantage during the Covid-19 pandemic using bivariate Poisson regression
Luke S. Benz, Michael J. Lopez
In wake of the Covid-19 pandemic, 2019-2020 soccer seasons across the world were postponed and eventually made up during the summer months of 2020. Researchers from a variety of di…
Bigger data, better questions, and a return to fourth down behavior: an introduction to a special issue on tracking data in the National football League
Michael J. Lopez
Most historical National Football League (NFL) analysis, both mainstream and academic, has relied on public, play-level data to generate team and player comparisons. Given the numb…
How often does the best team win? A unified approach to understanding randomness in North American sport
Michael J. Lopez, Gregory J. Matthews, Benjamin S. Baumer
Statistical applications in sports have long centered on how to best separate signal (e.g. team talent) from random noise. However, most of this work has concentrated on a single s…
Labor Disputes and Worker Productivity
Qi Ge, Michael J. Lopez
We implement a propensity score matching technique to present the first evidence on the impact of labor supply decisions during labor disputes on worker productivity in the context…
Building an NCAA mens basketball predictive model and quantifying its success
Michael J. Lopez, Gregory Matthews
The old adage says that it is better to be lucky than to be good, but when it comes to winning NCAA tournament pools, do you need to be both? This paper attempts to answer this que…