1,341 research outputs found
Replication Data for: Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes
No full textProvides replication data for Beiser-McGrath, Liam F. and Robert A. Huber (Forthcoming) Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes. Climatic Change
Replication Data for: Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes
No full textProvides replication data for Beiser-McGrath, Liam F. and Robert A. Huber (Forthcoming) Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes. Climatic Change
Maya Beiser, violonchelo (Estados Unidos)
No full textConcierto interpretado por Maya Beiser. Este artista ha cautivado los auditorios del mundo entero gracias a su virtuosismo, su repertorio ecléctico y su incesante búsqueda de la redefinición de su instrumento. A lo largo de su osada y versátil carrera ha logrado reconcebir la vivencia del concierto creando música de grandes trazos sónico-visuales que trasciende barreras y géneros.
En este concierto interpretó obras de Raz Mesinai, Simon Shaheen, Tamar Muskal, Douglas J. Cuomo, Kayhan Kalhor, Riyad Al-Sunbati, Jimmy Page y Robert Plant
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
Interview with Liam Beiser-McGrath "we have to design climate policies that reflect not just the environmental but also the political reality"
No full textAre we seeing a green backlash in European politics? In an interview with EUROPP’s editor Stuart Brown, Liam Beiser-McGrath discusses recent trends in environmental politics and how policy design can shape public support for tackling climate change
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
Replication Data for: Current Surveys May Underestimate Climate Change Skepticism Evidence from List Experiments in Germany and the USA
No full textStrong public support is a prerequisite for ambitious and thus costly climate change mitigation policy, and strong public concern over climate change is a prerequisite for policy support. Why, then, do most public opinion surveys indicate rather high levels of concern and rather strong policy support, while de facto mitigation efforts in most countries remain far from ambitious? One possibility is that survey measures for public concern fail to fully reveal the true attitudes of citizens due to social desirability bias. In this paper, we implemented list-experiments in representative surveys in Germany and the United States (N = 3620 and 3640 respectively) to assess such potential bias. We find evidence that people systematically misreport, that is, understate their disbelief in human caused climate change. This misreporting is particularly strong amongst politically relevant subgroups. Individuals in the top 20% of the income distribution in the United States and supporters of conservative parties in Germany exhibit significantly higher climate change skepticism according to the list experiment, relative to conventional measures. While this does not definitively mean that climate skepticism is a widespread phenomenon in these countries, it does suggest that future research should reconsider how climate change concern is measured, and what subgroups of the population are more susceptible to misreporting and why. Our findings imply that public support for ambitious climate policy may be weaker than existing survey research suggests
Replication Data for: Commitment-Failures Are Unlikely to Undermine Public Support for the Paris Agreement
No full textReplication Data for: Commitment-Failures Are Unlikely to Undermine Public Support for the Paris Agreement, forthcoming at Nature Climate Change
Abstract:
Success of the 2015 Paris Agreement, which is founded on Nationally Determined Contributions (NDCs), hinges on whether domestic support for international environmental agreements would be undermined if countries that are crucial to the global effort fail to reduce their emissions. Here we find that citizens in China (n = 3000) and the United States (n = 3007) have strong preferences over the design of international climate agreements, and contributions of other countries to the global effort. However, contrary to what standard accounts of international politics would predict, a survey-embedded experiment in which respondents were randomly exposed to different information on other countries’ behavior showed that information on other countries failing to reduce their emissions does not undermine support for how international agreements are designed. While other factors still make large emission cuts challenging, these results suggest that the Paris approach per se is not posing a problem
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