1,721,068 research outputs found
Replication Data for: Institutional Earmarks: The Earmark Moratorium and Federal Highway Spending
No full textIn 2010, the US Congress placed a moratorium on earmarks -- congressionally mandated spending projects. But did the earmark moratorium actually rid public policy of earmarks? I use earmark data and 2010-2020 state-level highway funding metrics to examine the relationship between previously expired transportation earmarks and federal highway funding during the earmark moratorium. Earmarks in the 2005 surface transportation law (SAFETEA-LU) continued to benefit certain states in 2020, even though the projects technically expired in 2009. This is because the funding “formulas” established by all post-2009 surface transportation laws were fully determined by the highway allocation percentage each state received in the preceding year, inclusive of earmarks. Further, I find the relationship between SAFETEA-LU earmarks and state funding disparities strengthened from 2010 to 2020, meaning the expired earmarks increased in policy significance during the moratorium. Highly earmarked states became even more advantaged after the earmarks were institutionalized into the highway funding formula
Replication Data for: Party Over Principles: Determinants of Public Opinion on Redistricting Reform
No full textHow does the mass public form attitudes on electoral rules and reforms? Existing research on this question reveals a trade-off between principles, such as fairness, and partisan self-interest. I use two survey experiments on state legislative redistricting to explore how voters weigh principles against partisan self-interest when forming opinions on electoral reforms. First, I ask whether the public’s partisan self-interest motivation stems more from individual representation considerations or broader partisan power considerations. I find that both considerations provide a powerful enough incentive to activate partisan self-interest regarding preferences for state legislative district maps. Unexpectedly, the two considerations have quite similar effects on public support for redistricting reforms. Second, I explore the principles versus partisan self-interest trade-off through the lens of loss aversion, a concept developed in behavioral economics. In line with expectations, I find that preventing loss provides a more powerful incentive for Americans to violate democratic principles than achieving partisan gain. In sum, this research sheds light on voters' decision between principles and partisan self-interest in the formation of opinion on electoral reform
Strategic States: The Congressional Roots of Federal Grant Applications
No full textWhile a large body of research explores the federal-level influences over distributive politics decisions, very little attention has been given to the active role state and local governments play in the geographic distribution of federal funds. Before presidents, legislators, and agency leaders can influence the selection of federal grants, state and local governments must expend time and resources to submit grant proposals. We focus on grant applications as our unit of analysis and advance a theory that congressional representation influences the grant application behavior of state and local governments. We analyze US Department of Transportation grant applications and awards from 2009 to 2022 and find evidence that congressional representation meaningfully influences state-level grant application behavior. States apply more aggressively for federal transportation grants when represented by senators in the Senate majority party, and states apply more efficiently for grants when represented by a senator holding an advantageous committee leadership post
Replication Data for: Supporting Veterans: Source Cues, Issue Ownership, and the Electoral Benefits of Military Service
No full textConventional wisdom has long assumed veteran status to be a beneficial credential for
political candidates, but the evidence is mixed on the direct association between
military experience and electoral success. Rather than a uniformly advantageous
candidate characteristic, we argue veteran status is best understood as an influential
source cue and issue ownership factor that can be capitalized on by effective
campaign messaging. We outline three potential mechanisms through which veteran
candidates unlock electoral gains—solidified issue ownership, enhanced trait
ownership, and increased salience of advantageous policy issues. We test these
expectations with two online survey experiments, randomizing the candidate’s veteran
status and the policy topic discussed in campaign messaging. We find veteran
candidates can use a combination of veteran cues and policy messaging to gain an
advantage over nonveterans. However, veteran candidates stand to benefit most by
talking about crime rather than national defense, as a ceiling effect appears to limit
veterans’ ability to enhance their service-related issue and trait ownership ratings by
messaging on national defense. By reconceptualizing military service as an effective communication tool rather than a uniformly advantageous biographical line, we clarify the substantial electoral value of veteran status in American politics
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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