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on Cultural Economics |
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Issue of 2020‒10‒12
three papers chosen by Roberto Zanola Università degli Studi del Piemonte Orientale |
| By: | Dr Sally Driml (Business School, University of Queensland, Brisbane, Australia); Associate Professor Richard Brown (School of Economics, University of Queensland, Brisbane, Australia); Ms Claudia Moreno Silva (Business School, University of Queensland, Brisbane, Australia) |
| Date: | 2020–08–28 |
| URL: | http://d.repec.org/n?u=RePEc:qld:uq2004:636&r=all |
| By: | Pinto, Claudio |
| Abstract: | The measurement of sports performances both of individual athletes and of an entire sports team, now highly widespread thanks to the enormous availability of sports data, is a crucial moment for professional sports clubs as the their survival is increasingly linked both to the results in the field obtained by its athletes and/or the team/s and to the achievement of many other sporting objectives. We here propose the use of the DEA methodology adapted to fuzzy logic to measure relative performances in the presence of uncertainty of a virtual sample of professional football teams along two dimensions: efficiency and effectiveness. The results obtained are especially interesting from the point of view of policy indications for the organization and management of the teams on the soccer pitch. The work then develops a second stage analysis structured in order to investigate on the one hand with the help of an econometric model the influence that a set of external factors can have on the performances and on the other, by calculating the gini coefficient, evaluates for various attitudes on the part of managers on uncertainty the degree of inequality in the distribution of sports performances of the groups that have participated in an ideal tournament. In conclusion, the work aims to develop, to our knowledge, an innovative and original way for the reference literature, a framework for analyzing sports data (and in particular for professional football clubs) in order to provide policy indications for improve their sports performances. |
| Keywords: | relative performance, sports data,fuzzy DEA |
| JEL: | C44 C55 D81 L25 |
| Date: | 2020–09–27 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:103129&r=all |
| By: | Niven Winchester (School of Economics, Auckland University of Technology); J. Dean Craig (Department of Economics, University of Colorado) |
| Abstract: | We use college football data and, in some cases, ESPN scout grades to estimate (1) attributes that are likely to result in a college quarterback being selected by a National Football League (NFL) team, and (2) the performance of rookie quarterbacks in the NFL. We find that both college passing and rushing ability are significantly correlated with NFL selection, with strong passing ability the most important trait for making the NFL. Among quarterbacks selected for the NFL, college rushing ability is significantly correlated with NFL performance, but college passing ability is not. College rushing ability is also a significant determinant of NFL performance when scout grades are included as an explanatory variable. We conclude that rushing prowess is the key determinant of the NFL success of quarterbacks with sufficient passing skills to warrant NFL selection. Our findings also indicate that scouts systematically undervalue rushing ability when assessing the NFL potential of college quarterbacks. |
| Keywords: | OR in sports, Selection, Multivariate regression analysis |
| Date: | 2020–08 |
| URL: | http://d.repec.org/n?u=RePEc:aut:wpaper:202011&r=all |