Mass Media and Electoral Preferences During the 2016 US Presidential Race

Political Behavior - This paper uses analyses of commercial polls alongside content-analytic measures of sentiment in the content of nine newspapers to explore the relationship between voter...     

Policy attribute framing: A comparison between three policy instruments for personal emissions reduction

A comparative experiment in the UK examined people's willingness to change energy consumption behavior under three different policy framings: energy tax, carbon tax, and personal carbon allowances (PCA). PCA is a downstream cap‐and‐trade policy proposed in the UK, in which emission rights are allocated to individuals. We hypothesized that due to economic, pro‐environmental and mental accounting drivers PCA would have greater potential to deliver emissions reduction than taxation. Participants (n = 1,096) received one version of a survey with the same energy‐behavior–related questions and identical incurred costs under one of the following framings: energy tax (where carbon was not mentioned), carbon tax, and PCA. Results suggest that policies that draw people's attention to carbon (PCA and carbon taxation) could have greater impact on their stated willingness to reduce energy consumption, and on the reduction amounts prompted, than would a non‐overt price signal (energy tax). There is mixed evidence, however, as to whether PCA or carbon taxation would produce the largest energy demand reductions. Some indication was found for a spillover toward wider carbon conservation under the PCA framing. © 2011 by the Association for Public Policy Analysis and Management.     

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Kosuke Imai Department of Politics, Princeton University, Princeton, NJ 08544 e-mail: kimai{at}princeton.edu Gary King Department of Government, Harvard University, 1737 Cambridge Street, Cambridge, MA 02138 Elizabeth A. Stuart Departments of Mental Health and Biostatistics, Johns Hopkins Bloomberg School of Public Health, 624 North Broadway, Room 804, Baltimore, MD 21205 e-mail: estuart{at}jhsph.edu e-mail: king{at}harvard.edu (corresponding author) Although published works rarely include causal estimates frommore than a few model specifications, authors usually choosethe presented estimates from numerous trial runs readers neversee. Given the often large variation in estimates across choicesof control variables, functional forms, and other modeling assumptions,how can researchers ensure that the few estimates presentedare accurate or representative? How do readers know that publicationsare not merely demonstrations that it is possible to find aspecification that fits the author's favorite hypothesis? Andhow do we evaluate or even define statistical properties likeunbiasedness or mean squared error when no unique model or estimatoreven exists? Matching methods, which offer the promise of causalinference with fewer assumptions, constitute one possible wayforward, but crucial results in this fast-growing methodologicalliterature are often grossly misinterpreted. We explain howto avoid these misinterpretations and propose a unified approachthat makes it possible for researchers to preprocess data withmatching (such as with the easy-to-use software we offer) andthen to apply the best parametric techniques they would haveused anyway. This procedure makes parametric models producemore accurate and considerably less model-dependent causal inferences. Authors' note: Our thanks to Dan Carpenter and Jeff Koch fordata; Alberto Abadie, Neal Beck, Sam Cook, Alexis Diamond, BenHansen, Guido Imbens, Olivia Lau, Gabe Lenz, Paul Rosenbaum,Don Rubin, and Jas Sekhon for many helpful comments; and theNational Institutes of Aging (P01 AG17625-01), the NationalInstitute of Mental Health (MH066247), the National ScienceFoundation (SES-0318275, IIS-9874747, SES-0550873), and thePrinceton University Committee on Research in the Humanitiesand Social Sciences for research support. Software to implementthe methods in this paper is available at http://GKing.Harvard.edu/matchitand a replication data file is available as Ho et al. (2006).     

Simulating Models of Issue Voting

Ola Listhaug Department of Sociology and Political Science, Norwegian University of Science and Technology, N-7491 Trondheim, Norway e-mail: olal{at}svt.ntnu.no e-mail: rabinowitz{at}unc.edu (corresponding author) How should one analyze data when the underlying models beingtested are statistically intractable? In this article, we offera simulation approach that involves creating sets of artificialdata with fully known generating models that can be meaningfullycompared to real data. The strategy depends on constructingsimulations that are well matched to the data against whichthey will be compared. Our particular concern is to considerconcurrently how voters place parties on issue scales and howthey evaluate parties based on issues. We reconsider the Lewisand King (2000) analysis of issue voting in Norway. The simulationfindings resolve the ambiguity that Lewis and King report, asvoters appear to assimilate and contrast party placements andto evaluate parties directionally. The simulations also providea strong caveat against the use of individually perceived partyplacements in analyses of issue voting.     

The effect of body coverings on the formation of adipocere in an aqueous environment

Adipocere is a postmortem decomposition product that consists of a mixture of fatty acids. The rate of formation of adipocere from pig adipose tissue in an aqueous environment has been monitored. The effect of various clothing and carpet material types on the process was investigated. The fatty acid composition of the adipocere was determined at regular intervals using gas chromatography-mass spectrometry. Examination of the changes to fatty acid concentrations allowed the degree of adipocere formation in the different environments to be estimated. The study demonstrated that the rate at which adipocere forms is particularly accelerated by the presence of coverings produced from natural materials. Elemental analysis by inductively coupled plasma-mass spectrometry revealed, for the most part, little change to the cations present in the adipocere formed. However, an increase in Ca concentration was observed for tissue wrapped in acrylic carpet, which was associated with a CaCO(3) additive used in the carpet manufacture.     

The consequences of perpetrating psychological aggression in dating relationships: a descriptive investigation

Psychological aggression is the most prevalent form of aggression in dating relationships, with women perpetrating as much, if not more, psychological aggression than men. Researchers have advocated for an examination of the consequences that follow psychological aggression for the perpetrator, in hopes that this will lead to innovative intervention programs aimed at ameliorating dating violence. The current study investigated the self-reported consequences of having perpetrated psychological aggression against a dating partner among female college students in a current dating relationship (N = 115). Participants endorsed numerous consequences as having followed their perpetration of psychological aggression, including both punishing and potentially reinforcing consequences. Furthermore, findings indicated that for some perpetrators, psychological aggression may function as a method of emotion regulation. Implications of these findings for future research and intervention are discussed.     

Uncertainty and disaster‐avoidance behaviour in peasant farming: Evidence from Bangladesh

A sample of smallholding farmers in the Pabna region of Bangladesh provide data to test predictions of a safety‐first model and of a profit maximisation model of farmer behaviour. Of the two sets of predictions, the data tend to support those of the safety‐first model more frequently than they support the predictions of the profit maximisation model. While the degree to which the former model ‘out‐performs’ the latter is not great, it is important to note that when the major inputs (land and human labour) and the major outputs (rice and jute), are focused upon, the safety‐first model performs much better than the profit maximisation model.     

Praxis and the disruption of organized crime groups

Although reports state the frequency of general crime has fallen across the developed world, no such trend is evident within organised crime. This has caused law enforcement agencies to search for more innovative approaches to tackle this global problem. Emerging prominently within this period has been a ‘disruption’ approach, albeit little systematic research currently supports its use. This study explores the way one English Police Force has tackled 15 Organised Crime Groups (99 individuals), using this type of approach. The study specifically examines the characteristics of the offender, the tactics used, and the re-offending levels following the police activity. It concludes by highlighting: the methodological challenges associated with the measurement of organised crime disruption; the ethical questions surrounding this type of intervention; and the overall effectiveness of the approach.