Abstract:This study utilizes Nielsen ratings to estimate the factors that influence viewership for Bowl Championship Series telecasts. Our modeling demonstrates increased start-of-game ratings for contests of higher absolute quality, but not of anticipated higher relative quality. Little support is generated for the notion of consumer preference for scoring. However, the relationship between outcome uncertainty and television ratings is dynamic as consumers initially prefer more certain games, but ratings increase syst… Show more
“…The first is distance, used previously by Simmons (2006) andTainsky andMcEvoy (2012). It is an integer variable measuring the distance, in km, between the town centres of the two cities of teams involved in the match and is intended to act as a proxy for the travel cost for the supporters.…”
Section: The Italian Football Broadcasting Settingmentioning
“…The first is distance, used previously by Simmons (2006) andTainsky andMcEvoy (2012). It is an integer variable measuring the distance, in km, between the town centres of the two cities of teams involved in the match and is intended to act as a proxy for the travel cost for the supporters.…”
Section: The Italian Football Broadcasting Settingmentioning
“…Table 1 The margin of victory was relatively stable for non-conference games over the period while the margin decreased in conference games. [42] in their work on Neilson ratings for BCS games; their results indicate that increases in the margin at a given quarter decrease ratings. The previously mentioned study investigates the uncertainty of outcome hypothesis while Grimshaw et al [43] examines TV audiences for the NCAA men's basketball Final Four games based on a consumer theory model.…”
Section: Actual Scoring and Outcomesmentioning
confidence: 96%
“…The previously mentioned study investigates the uncertainty of outcome hypothesis while Grimshaw et al [43] examines TV audiences for the NCAA men's basketball Final Four games based on a consumer theory model. Future research into the factors affecting TV audiences for these games is warranted due to the financial stakes; the 2011-2014 television deal generates $155 million per season for the BCS while the upcoming contract is estimated at $470 million per year [42]. Given six BCS games in the upcoming season then the per-game figure is approximately $78.3 million.…”
Clock rule changes were introduced in the 2006 season with the goal of reducing the average duration of the game; these changes were reversed in 2007. In addition, in 2007 the kickoff rule was changed to create more excitement and potentially more scoring. We examine what happened to actual and expected scoring during these National Collegiate Athletic Association (NCAA) football seasons. The clock rule change in 2006 led to lower scoring which was not fully encompassed in the betting market, leading to significant returns to betting the under. Multiple rule changes in 2007 led to volatility in the betting market that subsided by season's end.
“…Although for many types of broadcast this is not likely to significantly hamper interest, much of the sports economics literature notes the premium networks have placed on the presence of live sports in their line-up of programming (e.g. Salaga and Tainsky 2013). Although there is general consensus that the availability of CTTSL broadcasts and particularly live broadcasts have been increasing of late (Table 3) -even in the last two seasons, the only ones where accurate data are available -the lack of access to broadcasts may yet be hindering league popularity.…”
Section: Media Coverage and Spectator Interestmentioning
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