Below we use Optimal Classification (OC) in R to plot the House and Senate’s passage of a bill that extends the payroll tax holiday and unemployment benefits through the rest of the year and avoids making cuts to reimbursements made to doctors treating Medicare patients. The measure passed the House in a 293-132 vote and the Senate in a 60-36 vote.
House Republicans, seeking to avoid a repeat of December’s fight over the payroll tax cut extension, supported this bill by a 146-91 margin. Congressional Republicans and Democrats who opposed voted “Nay” on Friday appeared to have done so for different reasons: Democrats because the bill attempts to limit its costs by requiring federal workers to contribute more to their pensions and have concerns about funding for Social Security, and Republicans because the $150 billion in costs are not offset by corresponding spending cuts.
Consequently, Optimal Classification (OC) (which uses an algorithm to find cutting lines which maximize correct classification of observed choices) divides members along the second dimension in both votes. The substantive meaning of the second dimension in contemporary American politics is not entirely clear, although we have previously suggested (as when this phenomenon was seen in the vote to raise the debt ceiling in August 2011) that it may be coming to represent an establishment/outsider divide. For example, note that in the Senate plot many of the Republican “Yea” votes were among moderates (Sens. Scott Brown (R-MA), Susan Collins (R-ME), and Olympia Snowe (R-ME)) or party leaders or establishment figures (Sens. Mitch McConnell (R-KY) and Thad Cochran (R-MS)). These are also Senators with high (positive) second dimension scores, who OC classifies as supporters of the bill. Conversely, many of the Senate Republicans who opposed the measure are more closely affiliated with the Tea Party: Sens. Jim DeMint (R-SC), Mike Lee (R-UT), and Rand Paul (R-KY). These are Senators with low (negative) second dimension scores who are classified as “Nay” votes.
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