This town is not big enough for the both of us: bootstrapped dual-role factor data envelopment analysis of Major League Baseball with two teams in one city

Justin R. Muñoz

International Journal of Sports Management and Marketing2025https://doi.org/10.1504/ijsmm.2025.150359article
AJG 1ABDC B
Weight
0.50

Abstract

This research studies teams in Major League Baseball (MLB) that share the same metropolitan area with another team in the same professional baseball league. This research utilises a special type of data envelopment analysis (DEA), specifically dual-role factor DEA as the method to find the efficiency of teams that share the same market population with one another. Furthermore, the MLB teams were ranked based on efficiency by using cross-efficiency (XEff) to peer rank the teams against each other. A sample taken of several inputs and outputs, both performance-based and financial-based is injected into the DEA model to show the relative efficiencies of teams that share a location with another MLB team. Managerial implications are also discussed.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijsmm.2025.150359

Or copy a formatted citation

@article{justin2025,
  title        = {{This town is not big enough for the both of us: bootstrapped dual-role factor data envelopment analysis of Major League Baseball with two teams in one city}},
  author       = {Justin R. Muñoz},
  journal      = {International Journal of Sports Management and Marketing},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijsmm.2025.150359},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

This town is not big enough for the both of us: bootstrapped dual-role factor data envelopment analysis of Major League Baseball with two teams in one city

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.