Correction to: Blurring the Lines Between Civil Society,Volunteering and Social Movements. A Reflection on Redrawing Boundaries Inspired by the Spanish Case

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This paper should have appeared in the special issue presented here, but was previously published.     

Particle learning for Bayesian semi-parametric stochastic volatility model

This article designs a Sequential Monte Carlo (SMC) algorithm for estimation of Bayesian semi-parametric Stochastic Volatility model for financial data. In particular, it makes use of one of the most recent particle filters called Particle Learning (PL). SMC methods are especially well suited for state-space models and can be seen as a cost-efficient alternative to Markov Chain Monte Carlo (MCMC), since they allow for online type inference. The posterior distributions are updated as new data is observed, which is exceedingly costly using MCMC. Also, PL allows for consistent online model comparison using sequential predictive log Bayes factors. A simulated data is used in order to compare the posterior outputs for the PL and MCMC schemes, which are shown to be almost identical. Finally, a short real data application is included.     

Bias for Vocalic Over Consonantal Information in 6‐Month‐Olds

Human languages rely on the ability to learn and produce an indefinite number of words by combining consonants and vowels in a lawful manner. The categorization of speech representations into consonants and vowels is evidenced by the tendency of adult speakers, attested in many languages, to use consonants and vowels for different tasks. Consonants are favored in lexical tasks, while vowels are favored to learn structural regularities. Recent results suggest that this specialization is already observable at 12 months of age in Italian participants. Here, we investigated the representations of younger infants. In a series of anticipatory looking experiments, we showed that Italian 6‐month‐olds rely more on vowels than on consonants when learning the predictions made by individual words (Experiment 1) and are better at generalizing a structure when it is implemented over vowels than when it is implemented over consonants (Experiments 2 and 3). Until 6 months of age, infants thus show a general vocalic bias, which contrasts with the specialization previously observed at 12 months. These results suggest the format of speech representations changes during the second semester of life.     

Intra-household exposure to labor market risk in the time of Covid-19: lessons from Mexico

Review of Economics of the Household - The ability to work from home can be critical during pandemics. We calculate an index that measures the possibility of working from home based on the...     

迪卡侬:一家从不打广告的实体店

正迪卡侬最显著的一个特点就是——抠。为了省钱,这家开了40年的大公司不但没有一点法国的贵族气质,而且抠得连家庭主妇都自愧不如。真的这么差钱吗?不是,这家店花钱只有一个原则——六亲不认,只认用户。哪家实体店可以拍着胸脯说:我们不怕电商?几个月前,“一代鞋王”百丽贱卖退市,世界500强的沃尔玛,在中国成了关店王,玛莎百货关闭中国所有门店,2016年一年,就连华润万家也竟然关了800     

Central American regional integration in science,technology and innovation: a new challenge

In recent years in international cooperation policies and public policies of the Central American (CA) region multilateral mechanisms were generated to form interinstitutional networks that drive science, technology, and innovation (STI) as the engine for regional economic growth. In the agreements social, political, and economic disparity were taken into account in order to stimulate the articulation between actors and potentialize local strengths to generate critical mass on the level of knowledge and build a research core base. The aim of this article is to identify institutional and productive capacities acquired in the countries of the region (CA) that encourage interaction on a national level and create favorable conditions to generate regional agreements to build regional interaction on STI. Results show deficiencies in the linking between public and private agents derived from the limited funds destined to I+D, the insufficient channels of information and the lack of interest of the investigations to respond to priority problems of the region, which weaken links with the productive sector. From there, arise the need to build a joint and collaborative work agenda to consolidated the institutional environment and favors the capacities to absorb knowledge.     

Politics in Spain: A Case of Monitory Democracy

Analysing the current political context in Spain is a major challenge to political theory. Spain is experiencing the accumulation of trends that in recent years have focused the attention of most theorists and political scientists: discrediting of the major parties, falling numbers of party members, disaffection, etc. In parallel, this trend has been accompanied by citizen mobilisations that, since 15 May 2011, are manifest in numerous channels and strategies. The aim of this paper was to analyse the complex Spanish context from the monitory democracy proposal. The results show how in recent years processes of public scrutiny have been consolidated through a range of citizen initiatives. The study offers an in-depth analysis of the main characteristics of the most notable cases and monitoring initiatives, and also reflects on their democratising potential.     

The duality of poverty: a replication of Mani et al. (2013) in Colombia

Theory and Decision - Scarcity acts as a mental burden that disrupts how people process information and make decisions (Mullainathan and Shafir in Scarcity: Why having too little means so much....     

Beyond Self‐Reports: Changes in Biomarkers as Predictors of Mortality

The proliferation of biosocial surveys has increased the importance of weighing the costs and benefits of adding biomarker collection to population‐based surveys. A crucial question is whether biomarkers offer incremental value beyond self‐reported measures, which are easier to collect and impose less respondent burden. We use longitudinal data from a nationally representative sample of older Taiwanese (aged 54+ in 2000, examined in 2000 and 2006 with mortality follow‐up through 2011) to address that question with respect to predicting all‐cause mortality. A summary measure of biomarkers improves mortality prediction (as measured by the area under the receiver operating characteristic curve) compared with self‐reports alone, but individual biomarkers perform better than the summary score. We find that incorporating change in biomarkers over a six‐year period yields a small improvement in mortality prediction compared with one‐time measurement. But, is the incremental value worth the costs?