920,628 research outputs found
Replication Data for: Could Revenue Recycling Make Effective Carbon Taxation Politically Feasible?
No full textReplication data for Beiser-McGrath, Liam F. and Thomas Bernauer (2019) Could Revenue Recycling Make Effective Carbon Taxation Politically Feasible? Science Advances 5(9) https://doi.org/10.1126/sciadv.aax3323
Carbon taxes are widely regarded as a potentially effective and economically efficient policy instrument for decarbonizing the global energy supply and thus limiting global warming. The main obstacle is political feasibility because of opposition from citizens and industry. Earmarking revenues from carbon taxation for spending that benefits citizens (i.e., revenue recycling) might help policy makers escape this political impasse. On the basis of choice experiments with representative samples of citizens in Germany and the United States, we examine whether revenue recycling could mitigate two key obstacles to achieving sufficient public support for carbon taxes: (i) declines in support as taxation levels increase and (ii) concerns over the international economic level playing field. For both countries, we find that revenue recycling could help achieve majority support for carbon tax levels of up to 70 per metric ton of carbon, but only if industrialized countries join forces and adopt similar carbon taxes
Replication Data for: Could Revenue Recycling Make Effective Carbon Taxation Politically Feasible?
No full textReplication data for Beiser-McGrath, Liam F. and Thomas Bernauer (2019) Could Revenue Recycling Make Effective Carbon Taxation Politically Feasible? Science Advances 5(9) https://doi.org/10.1126/sciadv.aax3323
Carbon taxes are widely regarded as a potentially effective and economically efficient policy instrument for decarbonizing the global energy supply and thus limiting global warming. The main obstacle is political feasibility because of opposition from citizens and industry. Earmarking revenues from carbon taxation for spending that benefits citizens (i.e., revenue recycling) might help policy makers escape this political impasse. On the basis of choice experiments with representative samples of citizens in Germany and the United States, we examine whether revenue recycling could mitigate two key obstacles to achieving sufficient public support for carbon taxes: (i) declines in support as taxation levels increase and (ii) concerns over the international economic level playing field. For both countries, we find that revenue recycling could help achieve majority support for carbon tax levels of up to 70 per metric ton of carbon, but only if industrialized countries join forces and adopt similar carbon taxes
The Consequences of Model Misspecification for the Estimation of Non-Linear Interaction Effects
No full textRecent research has shown that interaction effects may often be non-linear (Hainmueller, Mummolo and Xu, 2019). As standard interaction effect specifications assume a linear interaction effect, i.e. the moderator conditions the effect at a constant rate, this can lead to bias. However, allowing non-linear interaction effects, without accounting for other non-linearities and non-linear interaction effects, can also lead to biased estimates. Specifically, researchers can infer non-linear interaction effects, even though the true interaction effect is linear, when variables used for covariate adjustment that are correlated with the moderator have a non-linear effect upon the outcome of interest. We illustrate this bias with simulations and show how diagnostic tools recommended in the literature are unable to uncover the issue. We show how using the adaptive Lasso to identify relevant non-linearities amongst variables used for covariate adjustment can avoid this issue. Moreover, the use of regularised estimators more generally, which allow for a fuller set of non-linearities, both independent and interactive, are shown to avoid this bias and more general forms of omitted interaction bias
Replication Data for: Separation and Rare Events
No full textWhen separation is a problem in binary dependent variable models many researchers use Firth’s penalised maximum likelihood in order to obtain finite estimates (Firth, 1993; Zorn, 2005; Rainey, 2016). In this paper I show that this approach can lead to inferences in the opposite direction of the separation when the number of observations are sufficiently large and both the dependent and independent variables are rare events. As large datasets with rare events are frequently used in political science, such as dyadic data measuring interstate relations, a lack of awareness of this problem may lead to inferential issues. Simulations and an empirical illustration show that the use of independent “weakly-informative” prior distributions centred at zero, for example the Cauchy prior suggested by Gelman et al. (2008), can avoid this issue. More generally, the results caution researchers to be aware of how the choice of prior interacts with the structure of their data, when estimating models in the presence of separation
Variations on the Author
No full text“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
Narrative Exposure Therapy: An Innovative Short-Term Treatment for Refugees with PTSD – Interview with Dr. Morton Beiser
No full textABSTRACTDr. Morton Beiser is a Professor of Distinction in Psychology at Ryerson University, as well as Founding Director and Senior Scientist at the Centre of Excellence for Research on Immigration and Settlement (CERIS) in Toronto. After obtaining his medical degree from the University of British Columbia in 1960, he interned at the Montreal General Hospital, completed residency in Psychiatry at Duke University Medical Centre and pursued post-doctoral training in Psychiatric Epidemiology at Cornell University. Dr. Beiser was appointed as Associate Professor of Behavioural Sciences at the Harvard School of Public Health from 1967 to 1975, before returning to Toronto to assume a David Crombie Professorship of Cultural Pluralism and Health, and professorship in Psychiatry. Given his extensive research experience on immigration and resettlement work, we interviewed Dr. Beiser to gain further insight into how Narrative Exposure Therapy (NET) can be an innovative short-term option to treat refugee patients with post-traumatic stress disorder (PSTD). Dr. Beiser is currently conducting a randomized trial to assess the effectiveness of NET among refugee children and youth in Toronto. RÉSUMÉDr Morton Beiser est un professeur distingué en psychologie à l’Université Ryerson, ainsi que directeur fondateur et scientifique principal au Centre d’excellence pour la recherche en immigration et en intégration (CEREI) de Toronto. Après avoir obtenu son doctorat en médecine à l’Université de la Colombie-Britannique en 1960, il a fait son internat à l’Hôpital général de Montréal, a complété sa résidence en psychiatrie au centre médical de l’Université Duke et a suivi une formation postdoctorale en épidémiologie psychiatrique à l’Université Cornell. Dr Beiser a été nommé professeur agrégé en sciences du comportement à l’École de santé publique de Harvard de 1967 à 1975, avant de retourner à Toronto pour occuper la Chaire David Crombie sur le pluralisme culturel et la santé, et la chaire de psychiatrie. Compte tenu de sa vaste expérience en recherche sur l’immigration et la réinstallation, nous avons interviewé Dr Beiser pour mieux comprendre comment la thérapie d’exposition descriptive (TED) est une option novatrice à court terme pour traiter les patients réfugiés atteints de trouble de stress post-traumatique. À l’heure actuelle, Dr Beiser mène un essai randomisé pour évaluer l’efficacité de TED chez les enfants et jeunes réfugiés de Toronto
Narrative Exposure Therapy: An Innovative Short-Term Treatment for Refugees with PTSD – Interview with Dr. Morton Beiser
No full textABSTRACT
Dr. Morton Beiser is a Professor of Distinction in Psychology at Ryerson University, as well as Founding Director and Senior Scientist at the Centre of Excellence for Research on Immigration and Settlement (CERIS) in Toronto. After obtaining his medical degree from the University of British Columbia in 1960, he interned at the Montreal General Hospital, completed residency in Psychiatry at Duke University Medical Centre and pursued post-doctoral training in Psychiatric Epidemiology at Cornell University. Dr. Beiser was appointed as Associate Professor of Behavioural Sciences at the Harvard School of Public Health from 1967 to 1975, before returning to Toronto to assume a David Crombie Professorship of Cultural Pluralism and Health, and professorship in Psychiatry. Given his extensive research experience on immigration and resettlement work, we interviewed Dr. Beiser to gain further insight into how Narrative Exposure Therapy (NET) can be an innovative short-term option to treat refugee patients with post-traumatic stress disorder (PSTD). Dr. Beiser is currently conducting a randomized trial to assess the effectiveness of NET among refugee children and youth in Toronto.
RÉSUMÉ
Dr Morton Beiser est un professeur distingué en psychologie à l’Université Ryerson, ainsi que directeur fondateur et scientifique principal au Centre d’excellence pour la recherche en immigration et en intégration (CEREI) de Toronto. Après avoir obtenu son doctorat en médecine à l’Université de la Colombie-Britannique en 1960, il a fait son internat à l’Hôpital général de Montréal, a complété sa résidence en psychiatrie au centre médical de l’Université Duke et a suivi une formation postdoctorale en épidémiologie psychiatrique à l’Université Cornell. Dr Beiser a été nommé professeur agrégé en sciences du comportement à l’École de santé publique de Harvard de 1967 à 1975, avant de retourner à Toronto pour occuper la Chaire David Crombie sur le pluralisme culturel et la santé, et la chaire de psychiatrie. Compte tenu de sa vaste expérience en recherche sur l’immigration et la réinstallation, nous avons interviewé Dr Beiser pour mieux comprendre comment la thérapie d’exposition descriptive (TED) est une option novatrice à court terme pour traiter les patients réfugiés atteints de trouble de stress post-traumatique. À l’heure actuelle, Dr Beiser mène un essai randomisé pour évaluer l’efficacité de TED chez les enfants et jeunes réfugiés de Toronto
advectionDiffusion: Supplementary Notebooks for "Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data"
No full text<p>This collection represent the supplementary software for the paper Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data (Section 3) by Florian Beiser, Håvard Heitlo Holm, and Jo Eidsvik.</p>
<p>It contains the scripts for setting up and running data-assimilation, as well as Jupyter Notebooks for post-processing and visualization of the results.</p>
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Mendelssohn’s Critique of Lessing’s Laocoon
No full textFrederick Beiser’s chapter demonstrates the palpable impact of Moses Mendelssohn on Lessing’s Laocoon. Mendelssohn composed his own treatise about the differences between the arts in 1757, paying particular attention to hybrid artistic forms that combined ‘natural’ and ‘arbitrary’ signs through their fusion of ‘successive’ and ‘instantaneous’ elements. In his comments on an early draft of Laocoon, Mendelssohn reminded Lessing that poetry—due to the arbitrariness of its signs—could also successfully express objects that coexist with one another rather than consecutive actions in time. Of all Mendelssohn’s comments on Laocoon, Beiser argues, this was the one that most troubled Lessing as he tried to develop a system for understanding ancient ‘poetry’ and ‘painting’.</p
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