Blackout (broadcasting&attendances) Flashcards

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1
Q

What is centralised selling? Who uses it?

A

All clubs in the league sell their media rights collectively through the league. Cartel?

The prem do this.

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2
Q

How does the prem auction its rights?

What can it result in?

A

First-price sealed bid

Winners curse to the benefit of the league.

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3
Q

Brief overview on Prem’s 2019 auction

A

Offers 7 packages/slots

By rules there has to be more than 1 broadcaster

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4
Q

Talk about the Prem’s 2025 auction.

A
  • 200 —> 270 games (still not 380)
  • blackout remains
  • sky has 4/5 packages. TNT has rest
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5
Q

Talk about how the prem divvies domestic TV deal. Controversial?

A

50% equally shared
25% facility fee
25% league position

Big 6 want greater shares for themselves

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6
Q

What’s important to consider when thinking about the relationship between stadium and TV sports?

A

Are they complements or substitutes?

dA/dPs

How does attendance change with TV subscription price.

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7
Q

What’s an issue with this cross-elasticity measure?

A

Data for subscription price is very hard to ascertain. Differs by household and bundle

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8
Q

What is the blackout rule?

What was it designed for?

A

Bans live team sport coverage between 2:45-5:15 PM on Saturdays

Designed to protect lower division attendance and revenue.

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9
Q

How can we test whether lower division attendances would fall if blackout was removed?

A

We can gather info from other countries

We can look at the effect of UCL broadcasts on EFL attendances

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10
Q

What does the Wallrafen (2020) paper look at?

A

Impact of live broadcasting on stadium attendances in German 3rd division.

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11
Q

How does Wallrafen control for selection bias in his 2020 paper?

A

2-stage: he has an OLS equation to estimate demand
He also has an ETR (exogenous treatment regression) that accounts for selection bias from certain games being chosen for broadcast.

Comparing these we see that OLS suggests positive impact on attendance from broadcasting games while ETR reverses this

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12
Q

What are the main findings from Wallrafen (2020)?

A
  • ETR model suggests that broadcasting a game free-to-air reduces attendance by 34% (even more so for midweek games)
  • Impact of concurrently played Bundesliga 1 games is rather imprecise. Very slight negative effect
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13
Q

Evaluate findings from Wallrafen (2020)

A
  • does broadcasting break into new markets increasing LR demand
  • evidence of postponed demand (doesn’t over compensate for lost revenue from last game)
  • generally not good for lower division teams.
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14
Q

What were the findings from Adam Cox (2012)?

A
  • For prem teams, there’s a negative effect of broadcasting teams’ games in gate attendance
  • This is worse for smaller clubs
  • However, broadcast facility fee outweighs the loss in gate revenue.
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15
Q

Evaluate the findings from Adam Cox (2012).

A
  • Restrictions in quantity stemming from collective agreement is detrimental for everyone.
  • Fans, broadcasters and clubs would be made better off by increasing the number of games shown live.
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16
Q

In Cox (2012), what does the Prem argue is the reason it doesn’t show more games?

A

It will reduce no. people attending stems live. But MR>MC so this shouldn’t matter

17
Q

What are the findings of Forrest et al (2004)?

A
  • Broadcasting had negligible effects on attendance and additional facility fees outweighs loss in gate rev
  • Showing more games would increase efficiency but cartel fails to reach an agreement
18
Q

What does Wallrafen et al (2019) look at?

A

Top divisions have spread schedules to reduce concurrent games. How does this effect german div 4

19
Q

What does Wallrafen et al (2019) find?

A
  • Nearby 1st or 2nd div games played on same day reduces attendance 10.5% (worse for reserve teams)
  • Concurrent bundesliga (UCL) games reduces attendance by 19% (14.1%)
20
Q

Talk about the 3 main areas that affect attendance demand

A
  • economic
  • consumer tastes and preferences
  • quality of contest
21
Q

Go into more detail about attendance demand factors (economic, consumer taste and quality of contest

A

Economic:
- Income
- Price of ticket, travel food
- market size and conditions

Consumer tastes:
- Habit persistence and loyalty
- Bandwagon effect

Quality of contest
- Appeal of superstars
- UOH

22
Q

What are some methodological issues with modelling attendance demand?

A

Quantity is tough to measure. Difference in seat quality, stadium constraints

Income is hard to measure

Price is also hard to measure

23
Q

What are some variables in the generic log attendance model?

A

Average home/away attendance last year

Derby?

Midweek?

Seasonal trend?

Broadcast?

24
Q

Buraimo et al. (2018)

A

Negative effect of midweek UCL and EPL games on FL attendances. Greater effects the lower down you go.

Should we adjust solidarity payments accordingly?