A new approach for measuring productivity gaps across groups: an application with historic footballers from FC Barcelona and Real Madrid
| dc.contributor.author | Cordero, José M. | |
| dc.contributor.author | Santín González, Daniel | |
| dc.date.accessioned | 2025-11-12T09:06:09Z | |
| dc.date.available | 2025-11-12T09:06:09Z | |
| dc.date.issued | 2026-01-15 | |
| dc.description.abstract | The assessment of the productivity gap between two or more groups of production units that operate an equivalent production process in different settings is a common challenge in the field of production analysis. These groups need to determine whether they should keep operating in the same manner to sustain their better performance levels or decide which managerial practices should be altered to close the gap with respect to best practices in other groups. The aim of this paper is to propose a new tool for measuring the productivity gap across different groups based on the use of a synthetic reference group uniformly distributed within a unit hypercube. Besides, as the productivity gap can be decomposed into two components, efficiency gap and global technical gap, this method fulfills the circular test and is independent of a base-reference technology. Thus, it outperforms other traditional approaches. To illustrate the usefulness of this methodology, we analyze the productivity gap between Spanish football’s two biggest rival clubs: FC Barcelona and Real Madrid. We use data on the performance of the most important players in the history of both clubs, divided according to their position on the pitch. The period of analysis covers the last 70 years, from the beginning of European competitions to the present day, i.e., from the 1954/55 to the 2023/24 season. Results show that, to date, Real Madrid’s goalkeepers and midfielders were more productive than those playing for FC Barcelona, there is a tie for defenders, while the productivity of FC Barcelona’s forwards was higher than those playing for Real Madrid. | |
| dc.description.department | Depto. de Economía Aplicada, Pública y Política | |
| dc.description.faculty | Instituto Complutense de Análisis Económico (ICAE) | |
| dc.description.refereed | TRUE | |
| dc.description.status | pub | |
| dc.identifier.citation | Cordero, J. M., & Santín, D. (2025). A new approach for measuring productivity gaps across groups: an application with historic footballers from FC Barcelona and Real Madrid. Omega, 103421. | |
| dc.identifier.doi | 10.1016/j.omega.2025.103421 | |
| dc.identifier.essn | 1873-5274 | |
| dc.identifier.issn | 0305-0483 | |
| dc.identifier.officialurl | https://doi.org/10.1016/j.omega.2025.103421 | |
| dc.identifier.relatedurl | https://www.sciencedirect.com/science/article/pii/S0305048325001471 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/126004 | |
| dc.issue.number | 103421 | |
| dc.journal.title | Omega | |
| dc.language.iso | eng | |
| dc.page.final | 20 | |
| dc.page.initial | 1 | |
| dc.publisher | Elsevier | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.cdu | 519.8 | |
| dc.subject.jel | C43 | |
| dc.subject.jel | D24 | |
| dc.subject.jel | Z20 | |
| dc.subject.keyword | Productivity gap | |
| dc.subject.keyword | Global technical gap | |
| dc.subject.keyword | Football | |
| dc.subject.keyword | Sport economics | |
| dc.subject.keyword | Benchmarking | |
| dc.subject.ucm | Investigación operativa (Matemáticas) | |
| dc.subject.unesco | 5399 Otras Especialidades económicas | |
| dc.subject.unesco | 1207 Investigación Operativa | |
| dc.title | A new approach for measuring productivity gaps across groups: an application with historic footballers from FC Barcelona and Real Madrid | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.volume.number | 138 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | cb430bf0-8693-4ed4-9b2f-85b8443eb5e5 | |
| relation.isAuthorOfPublication.latestForDiscovery | cb430bf0-8693-4ed4-9b2f-85b8443eb5e5 |
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