A Presentation of: Donald I. Price and Kabir C. Sen’s Economic Analysis: The Demand for Game Day Attendance in College Football: An Analysis of the 1997 Division 1-A Season By: Mark Groza Computer skills for economic analysis November 2004

Mark Groza Computer Skills for Economic Analysis (November 2004) The Variables effecting game day attendance. Independent Variables  Game Specific Variable  Team Specific Variables  University Specific Variables Dependant Variable  Attendance

Mark Groza Computer Skills for Economic Analysis (November 2004) The Game specific Variables Positively Correlated  Quality of Game  Quality of Home Team  Quality of Visiting Team  Tradition of Game Negatively Correlated  Ticket Price  Point in season  Precipitation  Degrees Below Normal Either Negative or Positive Correlation  Conference of Visiting team  Television Broadcast  Difference in Home and Visiting Teams’ Records  When Game is played

Mark Groza Computer Skills for Economic Analysis (November 2004) Team Specific Variables Positive Correlation  Number of consecutive years the college has had a football team  Bowl Record Negative Correlation  Number of Division 1-A schools per the home state’s population Either Negative or Positive Correlation  Stadium on or off campus  Domed or open air stadium

Mark Groza Computer Skills for Economic Analysis (November 2004) University Specific Variables Positive correlation  Size of student body  Percentage of students living on campus  Stadium capacity Negative Correlation  Nearby pro team (within 30 miles) Either Positive or Negative Correlation  Male Female ratio

Mark Groza Computer Skills for Economic Analysis (November 2004) Conclusion  Game day attendance is affected by a broad range of factors.  Membership in specific conferences influence fan support the most.  Campuses with large enrollments and few off campus students attract more fans.