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331.
David E. Lewis Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ 08540 e-mail: delewis{at}princeton.edu e-mail: clinton{at}princeton.edu (corresponding author) The study of bureaucracies and their relationship to politicalactors is central to understanding the policy process in theUnited States. Studying this aspect of American politics isdifficult because theories of agency behavior, effectiveness,and control often require measures of administrative agencies'policy preferences, and appropriate measures are hard to findfor a broad spectrum of agencies. We propose a method for measuringagency preferences based upon an expert survey of agency preferencesfor 82 executive agencies in existence between 1988 and 2005.We use a multirater item response model to provide a principledstructure for combining subjective ratings based on scholarlyand journalistic expertise with objective data on agency characteristics.We compare the resulting agency preference estimates and standarderrors to existing alternative measures, discussing both theadvantages and limitations of the method. Authors' note: We thank Tom Hammond, George Krause, and JoshuaTucker for helpful comments. We are grateful to Simon Jackmanand Shawn Treier for generously providing their code and oursurvey respondents for their time and expertise.  相似文献   
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This article presents two new sets of information regarding local government innovation. Using survey techniques, the research establishes a list of 22 modern local government innovations and identifies what are considered by local government professionals to be the top three mainstream local government innovations and cities leading in their usage. The research uses statistical techniques and previous research on the topic to test what effect factors related to the 100 most populated U.S. cities have on innovation usage. Among other variables, consistency, the population size, size of the advantaged population, and number of Democratic voters are found to be positively related to innovation on usage by cities.  相似文献   
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Research Summary

This study utilized a quantitative analysis of 246 cyberattack incidents reported in the Extremist CyberCrime Database to identify significant predictors of nation-state-sponsored cyberattacks relative to those performed by non-nation-state-sponsored ideological actors. Clarke and Newman's Situational Crime Prevention framework for terrorism was used to identify differential opportunities to successfully affect targets on the basis of tools, weapons, and the ability to access targets in online settings. The analysis noted nation-state-sponsored attacks were less likely to use high-visibility attack methods and more likely to utilize attack methods leading to data breaches. In addition, they were more likely to target state governments and military entities relative to ideological actors.

Policy Implications

Nation-state attacks are more difficult to identify or mitigate while in process, requiring a more robust national cybersecurity policy framework to be implemented that moves beyond current practices. There is a need to better utilize all aspects of government, from legislation to grant funding, in order to deter cyberattacks from continuing into the future.  相似文献   
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