Focusing on Focusing Events: Event Selection,Media Coverage,and the Dynamics of Contentious Meaning‐Making

Despite the prevalent assumption among scholars of social movements and contentious politics that transformative contentious events are also the focus of public attention and discussion, there has been little attempt to substantiate this. After making a case for why to focus on focusing events and suggesting that these events should be thought of as products of a dialogical contentious meaning‐making process, we develop a coverage attribute‐based method for identifying focusing events. For illustrative purposes, we apply our method to the coverage of contentious events during the “first” intifada by Israeli‐Jewish, Jewish settler, and Palestinian newspapers. Findings from analyses of 11,868 news items reveal that newspapers are likely to strategically quiet contentious events that are strategically amplified by newspapers affiliated with opposing or targeted parties, and vice versa, depending on their interpretation of these events as political opportunities or threats. Analyses of variations across and within contending parties reveal the role of structure and agency in the dialogical seesaw‐like dynamics of contentious meaning‐making.     

The performance of the income protection system for older adults in Ecuador and future challenges

The objective of this article is to analyse the performance of Ecuador’s pension system and the challenges it will face in the future. Over the last 13 years, the pension system has made significant advances in terms of coverage and adequacy. However, demographic ageing is straining the financial sustainability of the contributory scheme. In this context, a number of public policy areas are identified, in terms of parameters and structures, which, together with the expansion of non-contributory coverage, could provide a more equitable and sustainable scheme.     

Noninformative priors for linear combinations of normal means with unequal variances

For normal populations with unequal variances, we develop matching priors and reference priors for a linear combination of the means. Here, we find three second-order matching priors: a highest posterior density (HPD) matching prior, a cumulative distribution function (CDF) matching prior, and a likelihood ratio (LR) matching prior. Furthermore, we show that the reference priors are all first-order matching priors, but that they do not satisfy the second-order matching criterion that establishes the symmetry and the unimodality of the posterior under the developed priors. The results of a simulation indicate that the second-order matching prior outperforms the reference priors in terms of matching the target coverage probabilities, in a frequentist sense. Finally, we compare the Bayesian credible intervals based on the developed priors with the confidence intervals derived from real data.     

The Mediated Amplification of a Crisis: Communicating the A/H1N1 Pandemic in Press Releases and Press Coverage in Europe

In the aftermath of the A/H1N1 pandemic, health authorities were criticized for failures in crisis communication efforts, and the media were accused of amplifying the pandemic. Considering these criticisms, A/H1N1 provides a suitable case for examining risk amplification processes that may occur in the transfer of information from press releases to print news media during a health crisis. We integrated the social amplification of risk framework with theories of news decisions (news values, framing) in an attempt to contribute to existing research both theoretically and empirically. We conducted a quantitative content analysis of press releases disseminated by health and governmental authorities, as well as the quality and tabloid press in 10 European countries between March 2009 and March 2011. Altogether 243 press releases, 1,243 quality press articles, and 834 tabloid press articles were coded. Consistent with research on news values and framing the results suggest that quality and tabloid papers alike amplified A/H1N1 risks by emphasizing conflict and damage, presenting information in a more dramatized way, and using risk‐amplifying frames to a greater extent and risk‐attenuating frames to a lesser extent than press releases. To some extent, the quality and tabloid press differed in how risk information was presented. While tabloid press articles seemed to follow the leading quality press with regards to content and framing of health crisis coverage, they exhibited a stronger emphasis on drama and emotion in the way they presented information.     

我国社会发展目标和创新动力

“全面小康社会”、“和谐社会”、“资源节约型、环境友好型社会”、“学习型社会”的建设,均离不开创新活动,尤其是“自主创新”。“自主创新”是提高科技水平和经济竞争力的关键,也是调整经济结构、转变经济增长方式的中心环节。     

Network Neutrality Versus Paid Prioritization: Analyzing the Impact on Content Innovation

We examine the link between network neutrality (NN) and content innovation on the Internet by comparing the impact of NN and packet discrimination (PD) regimes on content innovation. We do this in the context of a two‐sided market model that simultaneously considers content provider (CP) and consumer decisions concerning market entry and participation while taking into account consumers’ response to network congestion. We find that content innovation flourishes under NN to a greater degree than under PD due to two effects we uncover: the generation of what we call a pro bono innovation zone in which CPs are able to enter the market without contributing to network provider profits; and the cross‐side congestion effect, a negative network externality wherein higher broadband market coverage levels result in greater congestion for CPs, and increased content results in greater congestion for consumers, taking into account consumers’ strategic response to network congestion. These results have important implications for current public policy debates regarding the Federal Communications Commission's Open Internet Rules.     

A new confidence interval in measurement error model with the reliability ratio known

For the slope parameter of the measurement error model with the reliability ratio known, this article constructs a fiducial generalized confidence interval (FGCI) which is proved to have correct asymptotic coverage. Simulation results demonstrate that the FGCI often outperforms the existing intervals in terms of empirical coverage probability, average interval length, and false parameter coverage rate. Two examples are also provided to illustrate our approach.     

The performance of model averaged tail area confidence intervals

We investigate the exact coverage and expected length properties of the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the context of two nested, normal linear regression models. The simpler model is obtained by applying a single linear constraint on the regression parameter vector of the full model. For given length of response vector and nominal coverage of the MATA confidence interval, we consider all possible models of this type and all possible true parameter values, together with a wide class of design matrices and parameters of interest. Our results show that, while not ideal, MATA confidence intervals perform surprisingly well in our regression scenario, provided that we use the minimum weight within the class of weights that we consider on the simpler model.     

一种简单有效的二项分布比例参数似然比置信区间的求法

对二项分布比例参数p的似然比置信区间,提出一种简便求解方法。在平均覆盖率、平均区间长度及区间长度的95%置信区间准则下与WScore、Plus4、Jeffreys置信区间进行模拟比较。试验表明,在二项分布b(n,p)的参数n≥20且p∈(0.1,0.9)时,该方法获取的似然比置信区间性能优良。当点估计p值不是接近于0或1且n≥20时,推荐使用本方法获取p的置信区间。     

A new confidence interval in errors-in-variables model with known error variance

This paper considers constructing a new confidence interval for the slope parameter in the structural errors-in-variables model with known error variance associated with the regressors. Existing confidence intervals are so severely affected by Gleser–Hwang effect that they are subject to have poor empirical coverage probabilities and unsatisfactory lengths. Moreover, these problems get worse with decreasing reliability ratio which also result in more frequent absence of some existing intervals. To ease these issues, this paper presents a fiducial generalized confidence interval which maintains the correct asymptotic coverage. Simulation results show that this fiducial interval is slightly conservative while often having average length comparable or shorter than the other methods. Finally, we illustrate these confidence intervals with two real data examples, and in the second example some existing intervals do not exist.