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1. . Evaluate a professional sports franchise: Students are required to choose ONE sports franchise from any professional North American league, examine the market conditions, revenues and costs for...

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1. . Evaluate a professional sports franchise:

Students are required to choose ONE sports franchise from any professional North American league, examine the market conditions, revenues and costs for this franchise. Specifically, information on market conditions should include analysis on market size, income levels, corporate head offices and some economic specific conditions such as tax advantages and the effect of exchange rate. Revenue and cost information should, at a minimum, include gate receipts, broadcasting revenue, corporate sponsorship and player costs.

Note: Forbes is a publisher of extensive market analysis on Professional sports franchises. You may look at their analysis but please DO NOT duplicate their reports.

2. Investigate the relationship between revenue and wins:

Students are required to choose one league from the North American professional sports market. Using data from Professor Rodney Fort’s website (see Reference 1 below) or from the league’s website, analyse the relationship between revenue and wins using a Multiple Regression model. An example of the regression model can be seen below:


Revenue=h0+h1×Wins+h2×WinsLagged+h3×MarketSize+h4×NewStadiumDummy+e


Note: To simplify the data collection, students may use cross-sectional data of any given year. If you are using multi-year series, please make sure that the revenue series are converted to real values and you may pool the observations together.


In the report, please explain the data source and variable definitions. The results from the regression model must be presented in a table format with proper labelling. Students must explain the results in detail using proper economic terminology.

Data Resources and References:


1. Professor Rodney Fort’s website (Data): https://sites.google.com/site/rodswebpages/codes Professor Rodney Fort has the largest sports data collection in North America and it is publicly accessible.


2. Sports Economics by David Berri (Textbook), Worth Publishers, 2018 (Ryerson Bookstore) e-book


3. The Economics of Sports by Leeds and Allmen (Textbook), the earlier editions are available through Ryerson Library.


4. Forbes https://www.forbes.com/lists/list-directory/ Forbes have extensive market analysis on sports franchises.


5. Power Play - the Business Economics of Pro Sports by Hodgson and Lefebvre (Conference Board of Canada): •This book is written by two economists at the Conference board. It includes many case studies that are focused on the Canadian professional sports market. http://www.conferenceboard.ca/powerplay.aspx (Hardcopy: $20, Kindle: $4.99)


There is also a webinar recorded: https://www.conferenceboard.ca/e-library/abstract.aspx?did=6143. Free Access from Ryerson Campus.


6. Conference board of Canada: http://www.conferenceboard.ca/. • _Conference board of Canada produces specific industry reports, including the sports industry. You can use their search engine and look for topics that are related to your research interests.

Answered Same Day Nov 05, 2021

Solution

Komalavalli answered on Nov 06 2021
145 Votes
9
1.Dallas cowboy
Dallas cowboy first owner was Clint Murchison, Jr in 1960 and
ought the franchise for $600,000.It was the first time the team entered National football League (NFL).In 1984 the team was sold to the Dallas Entrepreneur H.R. ‘Bum’ Bright for $60 million. After that the team has a record of 3 wins and 13 losses by 1988, this led to decrease in team profit as well as the Television revenue. In 1989 the team was owned by Arkansas oilman Je
y Jones for $140 million and established the world headquarter of Dallas cowboy is the star is the 91 acre campus at Frisco Texas. By the end of 1989 Je
y Jones raised revenue of $27 million through selling a vacant luxury suits. According to Fo
es valuation of NFL team in August 2019 the Dallas cowboy revenue was $950 million, their operating income-$420 Million and price paid was $150 million. The debt/ value of the team - 7%, player expenses of the team was $190 million, Gate receipts - $108 million , wins to player cost ratio – 165, Revenue per fan was $89.In September 2019 the Dallas cowboy team was valued at $5.5 billion ,this team is considered to be the most valued team in NFL. Their media partner for TV is CBS 11 and for radio is The Fan .Jones built the AT&T stadium at the cost of $1.2 billion. The franchise value of $1870 million was attributable to revenue shared among all teams, $1356 million attributable to its city and market size, $1235 million attributable to its stadium; value of $1039 million was attributable to its
and.
I have chosen National Football League from the North American professional sports market to determine the relationship between Revenue and Wins:
2. Data and Methodology:
Cross sectional datasets of National football league of 32 teams were obtained from various sites for the year 2018. The variable Revenue and Market value of a team obtained from Fo
es, winning percentage was obtained from Team rankings, overall attendance was obtained from ESPN and average ticket price data were obtained from tick pick and
Name of 32 teams are Cardinals, Falcons, Ravens, Bills, Panthers, Bears, Bengals, Browns, Cowboys, Broncos, Lions, Packers, Texans, Colts, Jaguars, Chiefs, Chargers, Rams, Dolpins, Vikings, Patriots, Saints, Giants, Jets, Raiders, Eagles, Steelers, 49ers, Seahawks, Buccaneers, Titans, Redskins.
To normalise the dataset I have employed Log revenue and Log Market value, since revenue in million dollars as a dependent variable in the model and Market value of a team in billions dollar as a independent variable. Here Multi Log-Log regression model was employed for the analysing the relationship between revenue and wins.
Descriptive Statistics:
    Variables
    Revenue
    Winning percentage
    Attendance
    Average ticket price
    Market value
    Mean
     45,23,75,000
    49.2
    1068715.375
    
    2569843750
    Standard...
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