1,720,971 research outputs found
Replication Data for "Partisan Poll Watchers and Electoral Manipulation"
No full textHow do parties protect themselves from electoral manipulation? To answer this question, we study the drivers of polling station party representatives' presence and their impact on electoral outcomes in an environment where electoral irregularities are common. Using election data from the Mexican Chamber of Deputies, we find a robust positive correlation between the presence of party representatives and that party's vote share. The evidence suggests that this correlation can be attributed to party representatives influencing the electoral results. We also formulate a game theoretic model of the levels of representation chosen by parties in a given precinct and structurally estimate its parameters. We find that parties send their representatives where they expect their opponents to send their own. The finding suggests representatives play a primarily protective role, even when they are often involved in irregularities themselves
Replication Data for "Partisan Poll Watchers and Electoral Manipulation"
No full textHow do parties protect themselves from electoral manipulation? To answer this question, we study the drivers of polling station party representatives' presence and their impact on electoral outcomes in an environment where electoral irregularities are common. Using election data from the Mexican Chamber of Deputies, we find a robust positive correlation between the presence of party representatives and that party's vote share. The evidence suggests that this correlation can be attributed to party representatives influencing the electoral results. We also formulate a game theoretic model of the levels of representation chosen by parties in a given precinct and structurally estimate its parameters. We find that parties send their representatives where they expect their opponents to send their own. The finding suggests representatives play a primarily protective role, even when they are often involved in irregularities themselves
Replication Data for: Competition and Civilian Victimization
No full textViolence against civilians in civil war is widely thought of as a strategic choice by combatant groups. We argue that a common strategic logic of competition underlies diverse theories of civilian victimization. We develop a theory of strategic complements in victimization, hypothesizing that an armed group’s propensity to victimize civilians will increase with its expectation that its competitors will act likewise. We test this argument by structurally estimating a formal model of strategic interdependence between armed groups using data from the Colombian civil war. Our findings indicate that strategic expectations are responsible for a substantial amount of violence against civilians: the two major combatant groups would have systematically victimized civilians in at least 9% fewer municipalities if they had expected no violence by their rival. Examining causal mechanisms, we also find that victimization in the Colombian case was more likely aimed at controlling civilians than at influencing peace negotiations
Replication Data for: Political Agency, Election Quality, and Corruption
No full textHow does electoral manipulation affect elected officials' willingness to satisfy their constituents? Although the literature has highlighted the role of elections as mechanisms of accountability, we do not know how elections whose integrity is compromised influence elected officials' actions in office. We present a model of accountability that allows for electoral manipulation and derive three results: i) rent extraction increases with the level of electoral manipulation, ii) the value of holding office is positively related to rent extraction for high values of office, and iii) electoral manipulation increases with the value of office. Using a fuzzy regression discontinuity design that exploits rules determining the sizes of polling stations in Colombia, we estimate a positive causal effect of vote buying on the likelihood of the election winner being sanctioned for violating the disciplinary code of public officials. Consistent with the theory, we find that higher values of office are not linked to fewer sanctions, but are associated with more vote buying
Assessment of supercapacitor performance in a hybrid energy storage system with an EMS based on the discrete wavelet transform
No full textWhen battery and supercapacitor (SC) Energy Storage Systems (ESSs) coexist in electric vehicles, energy management is imperative to ensure efficient power distribution based on the strengths and weaknesses of each ESS.The decoupling of highly dynamic power demands into components that match the dynamic nature of each ESS is essential. The Discrete Wavelet Transform (DWT) has been widely recommended for this purpose as part of real time energy management systems. However, due to DWT signal processing, delays in the frequency components can undermine the benefits of hybridization. This paper analyses the contribution of the SC to alleviate the battery when the DWT is used with and without time delay compensation using future demand prediction. Four different implementation strategies for a DWT based EMS have been evaluated using different metrics to quantify energy circulation and SC assistance during acceleration and braking. Simulation results using urban and highway driving cycles, show that obtaining the SC current reference as the difference between the real time current demand and the DWT low frequency component enhances SC assistance during acceleration and braking at the expense of higher energy circulation. The complexity added by future demand prediction does not reap SC performance benefits
A smart energy management system for battery-supercapacitor in electric vehicles based on the discrete wavelet transform and deep learning
No full textThe Discrete Wavelet Transform (DWT) is used to distribute power between the battery and supercapacitor in an electric vehicle so that the fast dynamic power demand is met by the supercapacitor and the slow dynamic is met by the battery. This results in a decline in battery ageing as the supercapacitor absorbs the high charge and discharge stress that would otherwise be imposed on the battery. However, implementing DWT introduces a time delay that increases as the level of decomposition increases. This time delay makes real time implementation difficult. This paper proposes the use of Deep Learning Recurrent Neural Networks with Long-Short Term Memory (LSTM) units to predict the power demand from raw data and compensate for the time delay so that DWT based energy management strategy can be implemented in real time. To compensate for the delay introduced by a second level DWT, the LSTM obtained a prediction root mean squared error of 3.69KW for the federal test procedure 72 (FTP72) driving cycle. Simulation results are presented to validate the design
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
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