An analytical history of terrorism, 1945–2000

This paper traces the history of modern terrorism from the end of the Second World War to the beginning of the twenty-first century. It divides that history into three stylized waves: terrorism in the service of national liberation and ethnic separatism, left-wing terrorism, and Islamist terrorism. Adopting a constitutional political economy perspective, the paper argues that terrorism is rooted in the artificial nation-states created during the interwar period and suggests solutions grounded in liberal federalist constitutions and, perhaps, new political maps for the Middle East, Central Asia and other contemporary terrorist homelands.     

U.S. Supreme Court Affirms Potentially Responsible Parties' Right of Action for Cost Recovery

In the wake of the Supreme Court's decision in Aviall—that potentially responsible parties (PRPs) are not permitted to seek contribution from other PRPs under CERCLA unless they have been sued or otherwise settled their CERCLA liability—PRPs and the courts have struggled to identify a remedy for those that voluntarily undertake cleanup of contaminated sites. The Atlantic Research decision resolves a conflict among the circuits and clarifies that PRPs voluntarily incurring cleanup costs pursuant to CERCLA, can maintain an action for cost recovery against other PRPs. The authors discuss the current legal landscape regarding actions for cost recovery as presented in Atlantic Research.     

Using Bayesian Aldrich‐McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions

Aldrich‐McKelvey scaling is a powerful method that corrects for differential‐item functioning (DIF) in estimating the positions of political stimuli (e.g., parties and candidates) and survey respondents along a latent policy dimension from issue scale data. DIF arises when respondents interpret issue scales (e.g., the standard liberal‐conservative scale) differently and distort their placements of the stimuli and themselves. We develop a Bayesian implementation of the classical maximum likelihood Aldrich‐McKelvey scaling method that overcomes some important shortcomings in the classical procedure. We then apply this method to study citizens' ideological preferences and perceptions using data from the 2004–2012 American National Election Studies and the 2010 Cooperative Congressional Election Study. Our findings indicate that DIF biases self‐placements on the liberal‐conservative scale in a way that understates the extent of polarization in the contemporary American electorate and that citizens have remarkably accurate perceptions of the ideological positions of senators and Senate candidates.