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
What the paper says
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.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 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.