173 research outputs found
The impact of COVID-19 on home advantage: a conditional order-m analysis of football clubs' efficiency in the top-5 European leagues
No full textThis study aims to contribute to the recent literature on the effects of COVID on football teams’ performance, focusing on the impact of ghost games on offensive and defensive technical efficiency. Using season-level data for the top 5 European leagues, a novelty for efficiency studies on football, the analysis compares the ten seasons played before the pandemic outbreak with the only season (2020-21) almost entirely played behind closed doors. A further novel contribution is the methodology – conditional order-m – applied to calculate efficiency scores. Our results show that in the post-COVID season both offensive and defensive efficiency significantly increased for away games, whereas for home games offensive efficiency shows a very slight increase, and defensive efficiency remains basically unchanged. These findings are valid for all the five leagues and provide evidence of a generalised reduction in the home advantage
The Determinants Of The TV Demand Of Soccer: Empirical Evidence On Italian Serie A For The Period 2008-2015
No full textThis paper investigates the determinants of TV audience for Italian soccer.
After a review of the literature concerning the key factors driving the
demand for sport, we analyse SKY’s audience figures for 7 Serie A seasons
(from 2008-09 to 2014-15). Applying different OLS specifications, we show
that Italian viewers have a committed behaviour and outcome uncertainty
does not have a significant impact on TV audience. In addition, when
choosing whether to watch a match of teams other than their favourite
team, Italian consumers appear to be particularly attracted by both the
aggregate quantity of talent present and by matches involving teams at the
top of the table. This suggests that, in the Italian context, an increase in the
TV demand is mainly driven by an enhancement in the performance of top
clubs and in the quality of the entertainment rather than in competitive
balance
Il Competitive Balance nel campionato italiano di Basket
No full textIntroduzione – 1. Il Competitive Balance negli Sport Professionistici –2. Misurazioni Alternative del Competitive Balance – 3. Il Caso della Pallacanestro in Italia – Conclusioni – Bibliografia. – Abstract: Il presente lavoro analizza l’andamento del CB nel campionato italiano di pallacanestro. Innanzitutto si è guardato all’evoluzione del CB dal 1957 al 2009: la deviazione standard mostra che l’equilibrio delle singole stagioni non varia significativamente nel tempo, l’indice di Herfindahl-Hirschman che sempre più squadre si sono inserite nella lotta per il titolo, in particolare dopo la sentenza Bosman. Successivamente, ci si concentra sul comportamento del CB nelle stagioni post-Bosman e sulla sua relazione con il numero di stranieri, attraverso un’analisi sia descrittiva che econometrica che sembra evidenziare una certa correlazione negativa tra le due variabili. […] This paper aims at analysing the performance of CB in Italian basketball championship. First, it examines the evolution of CB from 1957 to 2009: the standard deviation shows the degree of competition of the single seasons does not vary significantly, the Herfindahl-Hirschman index highlights more and more teams became competitive for the title, especially after Bosman sentence. Then, it focuses on CB of the seasons following that sentence and on its relationship with the number of foreign players, making use of both descriptive and econometric analysis which seems to point out a certain negative correlation between the two variables. […]Basketball, Competitive balance, Sport Economics
COMPETITIVE BALANCE IN THE ITALIAN BASKETBALL CHAMPIONSHIP
No full textIntroduction – 1. The Competitive Balance in Professional Sports – 2. Alternative Measures of Competitive Balance – 3. The Italian Basketball Championship – Conclusions – ReferencesCompetitive balance, Bosman ruling, talent supply
Beveridge curve, job matching and labour market dynamics: a multi-level empirical analysis
No full text2007 - 2008The aim of this thesis is to contribute to the debate on the
Beveridge Curve: more specifically, after providing a
theoretical introduction to the Curve in Chapter I, we focus on
some empirical points, concerning globalisation and
technological progress, which the international empirical
literature has not dealt with closely (Chapter II), and on a level
analysis which no previous study has dealt with in the Italian
literature (Chapter III).
Chapter I centres on the matching approach founding the
studies on the Beveridge Curve since the late 1970's, it also
mentions the recent production frontier approach and gives a
look to the possible consequences of the Great Recession on
the matching process and the Curve.
The aim of Chapter II is to test the existence of a Beveridge
Curve analysing the economies of nineteen OECD countries
from 1980 to 2004, and to investigate whether and how
technological progress and globalisation affect the
unemployment-vacancies trade-off. Indeed, in the literature
concerning the Beveridge Curve, only a few contributions
(Pissarides, 1990; Aghion and Howitt, 1994) have examined
the role of technological progress as a significant shift factor
for labour market performance. However, there is no unanimity
about the sign of its impact. Furthermore, few economists
would deny that globalisation, that is the growing international
interdependence in communications, trade, finance, labour
markets (migration), social systems, is one of fundamental
socio-economic phenomena of this turn of century.
Consequently, globalisation is another factor which is expected
to impact on the Beveridge Curve, but no full-fledged
estimation has, to the best of our knowledge, ever been carried
out of this nexus. We can sum up the main results as follows:
a) we find largely favourable evidence for the existence of a
OECD Beveridge Curve; b) lagged values of technological
progress impact positively on unemployment and shift the
Beveridge Curve outwards, producing evidence in support of
the creative destruction effect; c) lagged values of the
globalisation index have a positive impact on unemployment,
also shifting the Beveridge Curve outwards; d) a critical
econometric issue, extremely neglected by the previous
literature, is represented by endogeneity, as shown by tests and
other kind of evidence.
Finally, Chapter III focuses on the Italian labour market. There
are not many studies that have analyzed the Beveridge Curve in
Italy, likely because of the lack of official data on vacancies.
Moreover, no previous study has focused specifically on a
regional level analysis of the Beveridge Curve. Chapter III
aims at filling this gap of the literature using quarterly data for
the 1992-2009 period. In particular, the ISAE labour scarcity
indicator, which is available for all the regions, is used to build
regional vacancy rates. Like in Destefanis and Fonseca (2007),
we also investigate the impact on matching efficiency of the
recent strong development in the number of so-called atypical
jobs (both part-time and temporary)… [edited by author].VII n.s
POS dataset.xlsx
No full textThis is a dataset of 2498 fixtures covering seven seasons of the Italian Serie A, from the 2012/13 to the 2018-19 season. It contains attendance and performance variables plus further control variables taken from different sources<br
Migrant diversity and team performance in a highly-skilled labour market
No full textFrom a theoretical point of view, the link between workplace diversity and performance in a high-skilled
context is ambiguous. Likewise, empirical research at the firm or plant level finds inconclusive and contextspecific results. Using a detailed database that covers all matches played by Italian Serie A teams (firms)
over a 10-season period, our results reveal a substantial and robust negative effect of fractionalization on
performance, whereas no effect is found for polarization. This article also highlights how the negative effect
of fractionalization depends on the nature of the tasks to be completed, the wealth of the teams and the level
of workers’ experience. This work reveals some myopia in hiring practices and suggests that firms should
make better decisions in choosing the optimal mix of workers
VIF statistics.
No full textThis table shows the VIF coefficients of the variables included in the regression model. (DOCX)</p
“Game characteristics” determinants of attendance in Italian Serie A: Sub-groups based on BET 365 antepost.
No full text“Game characteristics” determinants of attendance in Italian Serie A: Sub-groups based on BET 365 antepost.</p
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