2012
DOI: 10.2139/ssrn.2026037
|View full text |Cite
|
Sign up to set email alerts
|

Are Home Field Advantage and Referee Bias Driven by the Fans? Evidence from Across the Ocean

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2014
2014
2014
2014

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(6 citation statements)
references
References 9 publications
0
6
0
Order By: Relevance
“…However, we found that the home crowd alone is not associated with positive referee bias. It should be acknowledged that there is some evidence that refereeing bias varies from league to league in conjunction with crowd hostility (Anders & Rotthoff, 2012), and caution should therefore be exercised in generalising the findings of the present study to all of world football prior to the application of BN modelling to other major leagues. In order to formulate such a conclusion, one has not only to understand the degree of impact of home crowd on home advantage, but also to measure home advantage for individual teams before assessing referee bias.…”
Section: Referee Bias and Match Attendancementioning
confidence: 91%
See 3 more Smart Citations
“…However, we found that the home crowd alone is not associated with positive referee bias. It should be acknowledged that there is some evidence that refereeing bias varies from league to league in conjunction with crowd hostility (Anders & Rotthoff, 2012), and caution should therefore be exercised in generalising the findings of the present study to all of world football prior to the application of BN modelling to other major leagues. In order to formulate such a conclusion, one has not only to understand the degree of impact of home crowd on home advantage, but also to measure home advantage for individual teams before assessing referee bias.…”
Section: Referee Bias and Match Attendancementioning
confidence: 91%
“…1. We convert the possession rate into time spent (in minutes) holding the ball, and we use the positional statistics of Action Zones 2 and Shot Zones 3 to estimate the time spent respectively at a) opposition third, and subsequently at b) opposition penalty box. Essentially, we are only interested in (b), since there is where the penalties are awarded.…”
Section: Componentmentioning
confidence: 99%
See 2 more Smart Citations
“…In recent years, much of the research behind the HFA has focused on referees (Mongeon & Longley, 2013;Souchon et al, 2013) who attempt neutrality but are subjected to much pressure by fans, coaches, and players while undertaking a task in which they need to make instant officiating decisions often without recourse. These studies showed time and again (Anders & Rotthoff, 2013;Unkelbach, & Memmert, 2010) that referees fail in their decision making to buffer against the pressure exerted on them and tend to favor unwittingly the home team. The current study utilized the prism of the actor-observer asymmetry (AOA; Jones & Nisbett, 1971), that is, the observation that actors explain their own behavior differently from the way an observer would explain the same behavior.…”
Section: Please Scroll Down For Articlementioning
confidence: 99%