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: an example of the model can be found in Lecture 4. To simply 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.
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