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Over the years football has attracted enormous interest from various fields of study, attracting attention both for its sporting and social aspects. Professional business operators consider football an important industry with enormous potential both in terms of its size and growth, and also because of indirect benefits due to the popularity gained by investors and management of football teams. The focus of the analysis has been on what characterizes most football clubs, and determines their particular economic and financial needs. The aim of this paper is to establish an efficiency measurement for football team financial resource allocation. In particular, we analysed the impact that the income statement, Net equity and Team value variables have on the points achieved by football teams playing in “Serie A” championship (Italian league). The method used in our study is a generalized estimating equation (GEE) for longitudinal count data. In addition we consider a coefficient of determination in the GEE approach based on Wald Statistics, and we propose a modified Mallow’s Cp for choosing the best model. Finally we propose an AFRSport index based on the differences between observed and theoretical points, in order to identify those teams that efficiently employ their financial resources.

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In this paper we investigate the existence of negative jobless duration dependence and the impact of jobless spells on future wages. Our findings are somewhat out of line compared with analogous explorations. We find evidence of very long unemployment duration of the young male labor force, higher than reported anywhere else in Western Europe, as well as large negative unemployment duration dependence. On the other hand, young Italian men experiencing jobless periods in their early careers face small re‐employment wage losses. Such losses do increase with the duration of joblessness, but they are lower than reported in the USA, Canada, the UK, France, and Spain.  相似文献   
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