1. Evaluate a professional sports franchise:
\nStudents are required to choose ONE sports franchise from any professional North
\nAmerican league, examine the market conditions, revenues and costs for this franchise.
\nSpecifically, information on market conditions should include analysis on market size,
\nincome levels, corporate head offices and some economic specific conditions such as tax
\nadvantages and the effect of exchange rate. Revenue and cost information should, at a
\nminimum, include gate receipts, broadcasting revenue, corporate sponsorship and player
\ncosts.
\nNote: Forbes is a publisher of extensive market analysis on Professional sports
\nfranchises. You may look at their analysis but please DO NOT duplicate their reports.
\n2. Investigate the relationship between revenue and wins:
\nStudents are required to choose one league from the North American professional sports
\nmarket. Using data from Professor Rodney Fort\u2019s website (see Reference 1 below) or
\nfrom the league\u2019s website, analyse the relationship between revenue and wins using a
\nMultiple Regression model. An example of the regression model can be seen below:
\nRevenue=h0+h1\u00d7Wins+h2\u00d7WinsLagged+h3\u00d7MarketSize+h4\u00d7NewStadiumDummy+e
\nNote: an example of the model can be found in Lecture 4. To simply the data collection,
\nstudents may use cross-sectional data of any given year. If you are using multi-year
\nseries, please make sure that the revenue series are converted to real values and you may
\npool the observations together.
\nIn the report, please explain the data source and variable definitions. The results from the
\nregression model must be presented in a table format with proper labelling. Students must
\nexplain the results in detail using proper economic terminology.<\/p>\n","protected":false},"excerpt":{"rendered":"
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