The impact of temperature on labor quality: Umpire accuracy in Major League Baseball
Southern Economic Journal, ISSN: 0038-4038, Vol: 88, Issue: 2, Page: 545-567
2021
- 7Citations
- 203Usage
- 16Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations7
- Citation Indexes6
- CrossRef1
- Policy Citations1
- 1
- Usage203
- Downloads168
- Abstract Views35
- Captures16
- Readers16
- 16
- Mentions1
- News Mentions1
- 1
Most Recent News
Climate Change Comes for Baseball
It happened fast. Almost as soon as Hurricane Milton bore down on South Florida last month, high winds began shredding the roof of Tropicana Field,
Article Description
Using data from Major League Baseball, I compute an objective measure of the home plate umpire's work quality—the accuracy of his ball and strike calls during a game—and measure how it varies with temperature. I find that an increase in game-time temperature from between 70 and 80°F to above 95°F decreases an umpire's accuracy by a little less than a percentage point, which is a 5.5% increase in the pitch-calling error rate when evaluated at the mean error rate of 13.3%. Restricting the sample to borderline pitches increases the magnitude of the hot-weather effect on accuracy to over a percentage point. My results indicate that very hot temperatures have a nontrivial, negative effect on the labor supply quality of a highly trained and highly skilled workforce in an important, high-revenue, and high-stakes industry, and suggest that protecting workers from daily variation in temperature can improve labor productivity.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85109186109&origin=inward; http://dx.doi.org/10.1002/soej.12524; https://onlinelibrary.wiley.com/doi/10.1002/soej.12524; https://ink.library.smu.edu.sg/cis_research/9; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1008&context=cis_research; https://ink.library.smu.edu.sg/cis_research_all/9; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1008&context=cis_research_all; https://dx.doi.org/10.1002/soej.12524
Wiley
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know