NAME: Senate Vote on Corporate Average Fuel Economy (CAFE) Standard TYPE: Census SIZE: 100 records, each including a record identifier and 4 variables DESCRIPTIVE ABSTRACT: Each record includes the name (as an identifier) of a 2002 U.S. Senator the state that senator represents, political party affiliation, vote on the Corporate Average Fuel Economy standard, and the total lifetime amount of money contributed to the senator by automobile manufacturers. The goal is to summarize and quantify the effects of ideology (party) and contributions on senators' votes. DATA SOURCES: This data was compiled by Public Campaign: http://www.howdarethey.org/news/cafe/cafetablealpha.htm Lifetime total contributions were obtained from the Center for Responsive Politics. DATASET LAYOUT: Columns Variable Comment 1-18 Name Last, First [MI.] 20-21 State Two letter abbreviation 23 Party R(epublican), D(emocrat), I(ndependent) 25-27 Vote Vote on CAFE standard (YES or NO) 30-34 Amount Total lifetime dollar amount contributed to the senator by the auto industry. This amount includes PACs and individual contributions of $200 or more from executives and their families. SPECIAL NOTES: James Jeffords, Vermont, is the sole Independent. The vote tallied here was on the Levin amendment to the McCain/Kerry proposal. The McCain/Kerry proposal, if implemented, would have forced auto manufacturers to increase fleetwide fuel economy. A vote of YES on the Levin amendment was tantamount to shelving the increase and was consistent with most auto manufacturers' wishes. STORY BEHIND THE DATA: The Corporate Average Fuel Economy (CAFE) Standard was 1975 legislation requiring automobile manufacturers to achieve particular standards in fleetwide fuel economy. The motion voted on here was a bill that effectively delays any increase in fleetwide fuel economy while the National Highway Traffic Safety Administration researches development of new CAFE standards. (A subsequent amendment froze the standard for light trucks at the then-current standard of 20.7 mpg.) I came upon the data while reading the news. As published by Public Campaign, the data made an ideal candidate for logistic regression. PEDAGOGICAL NOTES: The fundamental idea here is to fit a binary regression model. Doing so roughly assesses the effect of both party affiliation and contributions supplied by the auto industry on the probability of a vote that the industry generally desired. Transformations and careful handling of outlying cases are essential to a good analysis. REFERENCES: “Automobile and Light Truck Fuel Economy: The CAFE Standard” (2002), Almanac of Policy Issues [Online], September 25, 2002, www.policyalmanac.org/environment/archive/crs_cafe_standards.shtml. SUBMITTED BY: Scott Preston Department of Mathematics SUNY Oswego Oswego, NY 13126 srp@oswego.edu