Quantifying NFL Coaching: A Proof of New Growth Theory

Braig Kevin P.

Journal of Quantitative Analysis in Sports, 2008, vol. 4, issue 3, 66

Abstract: New Growth Theory is the science of research, knowledge, and designs. The foundation of New Growth Theory is that technological change, improvement in the instructions for mixing resources, lies at the heart of growth and improvement. Designs are the instructions that turn resources into useful things. The combination of professional baseball history and professional football history teaches us that growth in the National Football League (NFL) springs from better designs such as the Green Bay Packers' power sweep and the San Francisco 49ers' rhythm passing. This paper demonstrates that although football design architectures differ, the outcome of all useful designs is identical: The creation of the same non-rival 2-to-1 edge that the pitcher and catcher (the battery) continuously enjoy over a hitter in baseball. This paper's main conclusions are that, at maximum efficiency, NFL coaching research accounts for more than 25% of the team's efficiency and superior human capital engaged in production (playing) accounts for less than 15% of efficiency. In other words, research and play design contributes more to an NFL team's efficiency than play-making contributes. An NFL growth rate is equal to the productivity of a coaching staff's research and represents a directional vector. If an NFL team's growth rate is greater than 100%, it is likely the team is getting better continuously. Such an improving NFL team will generate increasing returns and enjoy an absolute competitive edge over competitors whose research productivity is less than or equal to 100%. Super Bowl results demonstrate that an NFL team that can sustain such growth and avoid turnovers is virtually unbeatable.

Keywords: football; baseball; new growth theory; human capital; technology (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1091 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:4:y:2008:i:3:n:1

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.2202/1559-0410.1091

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().