What determines the turnover for football coaches? The case of the Italian Serie A

F. Porro, M. Restaino, J. E. Ruiz Castro, M. Zenga

The aim of this work is to study the causes and consequences of head coaches' turnover in the top division of the Italian Soccer League (Serie A) over the period 2010-2019. Since coaches can exit from the club because of management choice or due to own decision, we employ competing risk models, able to estimate the effects of predictors on the risk of replacement. We gather data on coach, team and club by merging information from various internet sources. Since the set of information collected includes a large number of covariates that can influence the turnover of head coaches, we identify the best set of possible predictors, by applying a non-parametric procedure based on random survival forest, and then estimating the hazard ratios associated with the possible changes by competing risks model. Furthermore, the covariates selected by the random survival forest are compared with those chosen by traditional variable selection methods.

Keywords: Competing risk model, Random survival forest, Variable seleztion

Scheduled

Invited session Spanish-Italian
June 9, 2022  10:10 AM
Conference hall

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Dimensionality reduction of high-dimensional data via probability density functions: an application to the forecasting problem

F. Fortuna, F. Maturo, A. M. Aguilera, T. Di Battista

Stochastic diffusion processes for a general growth curve

G. Albano, A. J. Barrera García, V. Giorno, P. Román Román, F. A. Torres Ruiz

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