1,721,091 research outputs found
Patronage and Election Fraud: Insights from Russia's Governors 2000–2012
Theory and empirics suggest that patronage fosters election fraud. But why does fraud vary within autocracies where patronage’s incentives to manipulate should be uniformly high? In this paper, I explore whether information asymmetries can explain this phenomenon. I study the introduction of a patronage system which allowed Russia’s president to discretionarily appoint all 89 regional governors. After December 2004, all national elections were organized by governors facing removal but, crucially, only some were actually patronage-appointed with lower need to signal their qualities. I estimate the effect of the reform’s introduction and its staggered implementation on a new and verified regional fraud indicator for 7 national elections from 2000–2012. Results show that patronage increased overall levels of rigging but less so with patronage-appointed, connected governors. Appointments had no effect on actual election results and regional economic performance, which makes reduced uncertainty about governors’ loyalty the most plausible explanation
The Political Fallout of Chernobyl: Evidence from West-German Elections
I study the effect of a formative experience on political beliefs in a distant country. This paper looks at the Chernobyl nuclear disaster of April 1986 and voters’ response in West Germany. The analysis uses a diff-in-diff estimation which exploits variation in proximity to the nearest nuclear power plant (NPP) across 301 counties. Proximity is used as proxy for the shock from perceived risk of a nuclear accident. Using data over almost 40 years and 11 elections, my results indicate that living closer to an NPP benefited the explicitly anti- and pro-nuclear parties, the Greens and the Conservatives. The findings are persistent and robust to the inclusion of several socio-economic controls as well as checks for the validity of the identifying assumptions. The gains of the Greens are similar across social groups and in line with home-voter effects. The effect of proximity on the conservatives increases with education and the number of adolescents in their impressionable years. I argue that this can be explained by political belief formation and differences in assessing the economic benefits from nuclear power over the actual risk of an accident. Using variation in the scheduling of subsequent state elections, I can also show that the pro-nuclear response was stronger in counties which did not vote in the immediate aftermath of Chernobyl and thus had more time for a rational electoral choice
Loose Cannons: War Veterans and the Erosion of Democracy in Weimar Germany
This article shows that democracy in Weimar Germany was eroded by the political legacy of WWI. Using novel data on WWI veterans and an election panel from 1893-1933, I find that former soldiers are associated with a sizeable, persistent, and momentous shift in political preferences from left to right. I provide suggestive evidence that war participation made veterans highly receptive to nationalism and Anti-Communism. This alienated them from leftwing parties and drove the majority toward the political right. Contrary to historical accounts, veterans' shifts in political preferences cannot be explained by exposure to violence or other polarizing post-war events
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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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