Sharing and exchanging: understanding common grounds in northeast India

ABSTRACT

Northeast India, a ‘zipper region’ that gives impetus to Southeast Asian and Himalasian studies, is marked by complexities and ambiguities. The paper examines the multiple identity construction in contemporary Assam, the central state of this region and seeks to recover the other experiences that make ethnic life-world possible while challenging the ethnocentric discourses—in academia, politics, public and social movements. Acknowledging the presence of common or possibly universal processes behind the production of such discourses, it aims to interrogate the factors that cut across socio-cultural, political-economical or ecological dimensions. It further examines the multiple discourses and narratives that makes that social possible in the region. In doing so, it locates the strategic positioning of such discourses and how they deal with Indian nation-state and beyond. This paper in essence is interested in the question of possibility of various discourses—as a question of post-history.     

互联网时代媒体融合发展的未来模式探索

以互联网技术为引领的新技术为传统媒体的发展带来了新的机遇与挑战.从历史的角度看,传播媒介的发展轨迹与技术变革的历史脉络相互印合.媒体融合的层次与内涵日渐丰富,产业实践中呈现出复杂的博弈与协作关系.传统媒体独特的版权资源与人才储备优势,与新兴媒体的传播渠道及传播效率优势相结合,互相推动,深入协作,通过媒介融合渠道,实现优秀的人才、优质的内容与优化的传播平台的整合,以形成迸发式的传播威力,推动传播层次的迭代发展.面向技术发展前景的媒体融合,应当秉承开放与共享的新思维、立体与互动的新路径,注重以用户为中心,充分利用技术的便捷性,实现媒介传播渠道的多层次性与互动性,超越阶段性的固有技术模式,以踏准未来的节拍.     

The impact of the European Youth Guarantee on active labour market policies: A convergence analysis

The European Union’s (EU) Youth Guarantee aims to improve the labour market situation of young people. Rather than prescribing a uniform policy model, it acknowledges that supportive measures need to align with national, regional and local circumstances. It thus seeks to promote mutual policy learning through the open method of coordination. As an innovative measure, the EU has deployed funding programmes to support the domestic measures related to the Youth Guarantee. We therefore examined in this study whether this mix of recommendations and financial incentives has entailed a convergence of member state policies. Our analysis of policy outputs for the period 2007?2014 yields a mixed empirical picture. There is catching‐up convergence regarding policies’ sectoral coverage but increasing divergence concerning the number of adopted policy instruments. The first two years of financial incentives did not produce any effect on enhancing policy experimentation among less active member states. We offer an optimistic and a pessimistic interpretation of these findings.     

Local Estimation of the Conditional Stable Tail Dependence Function

We consider the local estimation of the stable tail dependence function when a random covariate is observed together with the variables of main interest. Our estimator is a weighted version of the empirical estimator adapted to the covariate framework. We provide the main asymptotic properties of our estimator, when properly normalized, in particular the convergence of the empirical process towards a tight centred Gaussian process. The finite sample performance of our estimator is illustrated on a small simulation study and on a dataset of air pollution measurements.     

FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode

In this paper we present a new estimator of the conditional density and mode when the co-variables are of functional kind. This estimator is a combination of both, the k-Nearest Neighbours procedure and the functional local linear estimation. Then, for each statistical parameter (conditional density or mode), results concerning the strong consistency and rate of convergence of the estimators are presented. Finally, their performances, for finite sample sizes, are illustrated by using simulated data.     

Europeanisation and the Youth Guarantee: The case of France

In 2013, the European Council approved the Youth Guarantee (YG) to counteract youth unemployment. Because of its specific features, the YG is useful for understanding whether the EU has triggered policy change in national youth unemployment policies. Contrary to most of the literature on similar topics, we focused in this study on the effect of this specific European measure rather than on broader EU strategies or policies. The study contributes to the literature by qualifying the degree of fit/misfit and suggesting a counterfactual analysis, using the case of France. We first situate the article within the broader Europeanisation debate and present our research design. The second section introduces the policy structure of the YG and investigates youth unemployment policy in France, prior to and after the European initiative. The third section discusses whether the French youth unemployment policy would have been developed in the same way without the YG. A final section concludes.     

概率赋范空间中的弱收敛和弱有界

本文引入了Menger-概率赋范空间中有界线性算子,泛函以及向量序列(集)的几种收敛性(有界性)概念,并研究了各种收敛性(有界性)及其相互关系。     

Another legacy of the COVID-19 pandemic: Income divergence

The uneven economic recovery from the pandemic-induced global recession of 2020 is expected to disrupt a multi-decade trend of per capita income convergence between advanced and emerging market and developing economies (EMDEs). This stands in contrast to the global recession following the global financial crisis. Should downside risks to the global recovery, in particular financial market stress, materialize, they are likely to set back growth in EMDEs more than in advanced economies in part because of the more limited policy space remaining in EMDEs, and would further widen per capita income divergence.     

Dynamic inference for non-Markov transition probabilities under random right censoring

The main contribution of this article is the verification of weak convergence of a general non-Markov (NM) state transition probability estimator by Titman, which has not yet been done for any other general NM estimator. A similar theorem is shown for the bootstrap, yielding resampling-based inference methods for statistical functionals. Formulas of the involved covariance functions are presented in detail. Particular applications include the conditional expected length of stay in a specific state, given occupation of another state in the past, and the construction of time-simultaneous confidence bands for the transition probabilities. The expected lengths of stay in a two-sample liver cirrhosis dataset are compared and confidence intervals for their difference are constructed. With borderline significance and in comparison to the placebo group, the treatment group has an elevated expected length of stay in the healthy state given an earlier disease state occupation. In contrast, the Aalen-Johansen (AJ) estimator-based confidence interval, which relies on a Markov assumption, leads to a drastically different conclusion. Also, graphical illustrations of confidence bands for the transition probabilities demonstrate the biasedness of the AJ estimator in this data example. The reliability of these results is assessed in a simulation study.