Suchergebnisse

The vetting of potential federal judges by the Standing Committee on Federal Judiciary of the American Bar Association (ABA) is politically controversial. Conservatives allege the Standing Committee is biased against Republican nominees. The ABA and its defenders argue the ABA rates nominees objectively based on their qualifications. The authors investigate whether accusations of liberal bias have merit. They analyze all individuals nominated to the U.S. Courts of Appeals from 1977 to 2008. Using genetic matching methods and ordered logit models, the authors find evidence of bias against Republican nominees in the ABA's ratings. They conclude by discussing the implications of these results. Adapted from the source document.

After more than a decade of membership stability, the U.S. Supreme Court experienced a pair of vacancies following its 2004–2005 term. In July 2005, Justice Sandra Day O'Connor announced her intention to retire. It is widely believed that her own health, that of her husband, and the favorable political environment influenced her decision to step down in January 2006. In the interim, Chief Justice William Rehnquist, after struggling with ill health for many months, passed away on 3 September 2005, becoming the first sitting justice to die in more than five decades.

The vetting of potential federal judges by the Standing Committee on Federal Judiciary of the American Bar Association (ABA) is politically controversial. Conservatives allege the Standing Committee is biased against Republican nominees. The ABA and its defenders argue the ABA rates nominees objectively based on their qualifications. The authors investigate whether accusations of liberal bias have merit. They analyze all individuals nominated to the U.S. Courts of Appeals from 1977 to 2008. Using genetic matching methods and ordered logit models, the authors find evidence of bias against Republican nominees in the ABA's ratings. They conclude by discussing the implications of these results.

AbstractRecently, new electronic technologies have supplemented older mechanisms of communication between members of Congress and their constituents. These technologies have enhanced members' options for communication, both with constituents and other interested parties. This research examines member use of one specific electronic communication medium: Twitter. Using original data to examine patterns of use, two models predict the probability of a member adopting Twitter based on political, personal, and district-level variables.