完善信息报备机制崔动场外衍生品市场发展

文章在回顾《场外衍生品数据报备和汇总要求报告》（CPSS—IOSCO）的基础上,介绍了交易数据报备机制和报备数据汇总机制建设取得的成果及相关要点,分析了协调各国报备信息库建设步伐存在的难点,提出了对我国建立场外衍生品标准化机制的启示和借鉴。文章认为,我国应在充分参考国际经验的基础上,研究交易报备和数据汇集的方法,参与国际相关标准体系的制定,完善我国交易信息报备机制,推动场外衍生品市场发展。     

消费视角下农村居民金融需求研究——以泰州为例

本课题以泰州市农村居民问卷调查数据的实证分析为基础.着重研究农村居民消费状况与金融需求之间的关系,并分析了正规金融对农村居民金融需求满足程度.研究结果表明,农村地区消费潜力巨大,金融需求旺盛,对农村金融供给体系提出了更高的要求.     

新生代农民工忠诚度现状及提升对策研究——基于浙江中小民营企业的调查

助推民营企业可持续发展,农民工功不可没。但是,随着新生代农民工日益成为劳动大军,民营企业的管理越来越困难,尤其新生代农民工的忠诚度问题更加严重,他们对企业的归属感和认同感日益缺失。基于浙江中小民营企业新生代农民工调查和访谈结果表明,当前新生代农民工的忠诚度比较低,只有70分（百分制）。企业管理者要深入分析新生代农民工的新特征和他们的困境,在以人为本思想、晋升制度、沟通机制、诚信合作、员工发展和非正式组织等方面采取有效措施,有助于提高新生代农民工的忠诚度。     

货币危机的政治经济学解释:文献评述

作者从文献的角度对货币危机的政治经济学解释做了一次比较全面的梳理,从中可以看出国际金融政治经济学的研究特点和思维方式。在理论构建上,政治经济学的学者们完全沿用了经济学模型中的不完全信息和动态博弈论,引入了预期的形成以及市场交易者和政府之间的战略互动,从而成功地把各种政治和经济变量纳入到一个模型之内。他们的贡献是,把政治变量引入到市场交易者和政府的预期形成中,强调了政治变量以及作为一种信息的政治变量在市场交易者和政府预期中的作用或者地位,并强调了政治变量在市场交易者和政府之间战略互动或动态博弈过程中的作用,从而更好地解释了货币危机的原因,提高了预测货币危机的准确性。在实证研究上,政治经济学通过预期效用函数、战略概率模型等方式,较为成功地实现了对政治因素这个分类变量的模型化,较好地实现了对政治因素的量化分析。     

The advertising performance of non-ideal female models as a function of viewers' body mass index: a moderated mediation analysis of two competing affective pathways

Advertisements often display ideal female bodies which create unattainable standards of beauty, generating body anxiety and disorders in female viewers. Accordingly, public health concerns would encourage the use of natural, unedited models in advertisements. However, the advertising performance of natural models remains contentious. We argue that previous inconsistent findings about this performance may result from a complex causal framework in which natural models impact performance through two affective mediators (body anxiety, and repulsion toward the model), while allowing moderation by the viewer's own body mass index (BMI). Data collected in a nationally representative sample of 400 young women largely (but not entirely) validate this causal framework. Natural models triggered repulsion in viewers with higher BMI, which hurt advertising performance. Body anxiety, however, was positively correlated with advertising performance, and did not mediate any effect of natural models.     

A critical overview of privacy-preserving approaches for collaborative forecasting

Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations.     

Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

Objective: To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs).

Materials and methods: Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12?months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4?years using Lin's method.

Results: The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (n?=?1,340) and those with MB (n?=?3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4?years post-index, respectively (p?p?Limitations: Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011.

Conclusions: The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4?years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.     

Gender and ethnic earnings gaps in seven West African cities

In this paper, we measure, compare and analyse gender and ethnic earnings gaps in seven West African capitals using data from an original series of urban household surveys. Our results show that gender earnings gaps are large in all the cities in our sample with significant variations across cities. Cities with large gender earnings gaps are also where gender education gaps are wider and where the female labour market participation is highest. Decomposition of the gender gaps shows that differences in characteristics explain around 40% of the raw gender gap on average, but this varies somewhat across cities. The results of the full decomposition of the gender earnings gaps suggest that differences in sector allocation contribute, on average, to one third of gender earnings gaps. Gender gaps are very wide in the informal sector and differences in micro-firm characteristics also account for differences in self-employment earnings. In contrast to the large gender earnings gaps measured in the seven cities, majority ethnic groups do not appear to be in a systematically advantageous position on the urban labour markets in our sample of cities, and observed gaps are small compared with gender gaps. Looking at more detailed levels of ethnic disaggregation, ethnic earnings differentials are found to be systematically smaller than gender differentials. Moreover, none of the minority “favoured” groups seem to have any relation to the ethnicity of the Head of State at the time of the survey. Holding productive characteristics constant, some unexplained differences persist however.