基于VEC模型的国债发行额影响因素分析

本文基于VEC模型,并运用协积检验、格兰杰检验、脉冲响应函数和方差分解技术,对我国国债发行额的影响因素进行实证分析。结果显示,我国国债发行额与国内生产总值（GDP）、财政赤字、国债还本付息、国债余额、居民储蓄和贷款余额存在着长期稳定的均衡关系,影响国债发行额的主要因素有国债发行额本身、国内生产总值（GDP）、财政赤字、居民储蓄和国债还本付息。     

城市家庭子女对父辈的养老支持分析--苏南四城市老年人生活状况调查

家庭养老是中国传统的养老方式,随着我国经济和社会的发展,传统的养老模式发生了变化,现在到底是怎样的状况?通过分析城市家庭中子女在父辈养老过程中对父辈的经济支持、生活照料和情感支持状况,可以发现,居家养老是现阶段城市老年人养老的主要形式,子女在父辈的养老过程中主要发挥了情感支持和生活照料的作用,经济支持方面则表现为社会保障(退休金)支持下的老年人的自养.     

市场转型下的老年供养研究

现代化理论预测未来家庭纽带会减弱,对老人的家庭供养会逐渐减弱。我们认为市场转型过程中,子女的人力资本和收入的快速提高有助于供养老人。利用2005年全国1%人口抽样调查数据,本文对60岁以上老年人口的主要生活来源进行了深入分析。研究表明,城市老年居民主要靠离退休金,镇和农村老年人仍有一半靠家庭供养,农村另有40%的老人依靠自我劳动生活。Logistic回归的结果显示农村家庭中子女的劳务迁移提高了老年人的家庭供养比。此外,农村、女性、高龄、低教育老人的家庭供养比高,而城市,男性,低龄,和教育程度较高的供养比低。分城乡老人家庭供养比,农村在不发达的西部最高,城市在发达的东部最高,反映家庭供养U型发展趋势。面对老人比例激增的局面,政府应积极扩大社会养老保障的覆盖面,加强扶持老年弱势群体,减轻家庭养老负担。     

农村儿子、女儿对父母的经济支持差异研究

利用2010年中国人民大学组织的家庭及生育状况研究调查数据,采用固定效应的Logistic模型和多元回归模型,研究农村儿子、女儿对父母的经济支持差异。结果发现,尽管农村中女儿比儿子更有可能对老人进行正向经济支持,但在对父母进行正向经济支持的人中,儿子对老人的经济支持力度仍然比女儿大。在控制了一系列微观个体特征、中观家庭特征和宏观区域特征后,对老人的经济支持力度的性别差异越发明显。在我国农村,儿子对父母的经济支持力度仍然显著强于女儿。     

Fathers' birth experience in relation to midwifery care

The aim was to identify the proportion of fathers having a positive experience of a normal birth and to explore factors related to midwifery care that were associated with a positive experience.

Background

Research has mainly focused on the father's supportive role during childbirth rather than his personal experiences of birth.

Methods

595 new fathers living in a northern part of Sweden, whose partner had a normal birth, were included in the study. Data was collected by questionnaires. Odds Ratios with 95% confidence interval and logistic regression analysis were used.

Results

The majority of fathers (82%) reported a positive birth experience. The strongest factors associated with a positive birth experience were midwife support (OR 4.0; 95 CI 2.0–8.1), the midwife's ongoing presence in the delivery room (OR 2.0; 1.1–3.9), and information about the progress of labour (OR 3.1; 1.6–5.8).

Conclusion

Most fathers had a positive birth experience. Midwifery support, the midwife's presence and sufficient information about the progress of labour are important aspects in a father's positive birth experience. The role of the midwife during birth is important to the father, and his individual needs should be considered in order to enhance a positive birth experience.     

Learning by Objectives for Adaptive Shop-Floor Scheduling*

Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decision making. A high-level knowledge representation for modeling production environments is developed, with facilities for genetic learning within this scheme. A multiagent framework is used, with individual agents being responsible for the dispatch decision making at different workstations. Learning is with respect to stated objectives, and given the diversity of scheduling goals, the efficacy of the designed learning scheme is judged through its response under different objectives. The behavior of the genetic learning scheme is analyzed and simulation studies help compare how learning under different objectives impacts certain aggregate measures of system performance.     

What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

This paper presents a new dimension of inductive learning for credit risk analysis based on the specific impact of Type I and Type II credit errors on the accuracy of the learning process. A Dynamic Updating Process is proposed to refine the credit granting decision over time and therefore improve the accuracy of the learning process. The new dimension is tested on credit files of small Belgian businesses. Results indicate an improvement of the learning process in terms of predictive accuracy, stability, and conceptual validity of the final decision tree.     

Error Bands for Impulse Responses

We show how correctly to extend known methods for generating error bands in reduced form VAR's to overidentified models. We argue that the conventional pointwise bands common in the literature should be supplemented with measures of shape uncertainty, and we show how to generate such measures. We focus on bands that characterize the shape of the likelihood. Such bands are not classical confidence regions. We explain that classical confidence regions mix information about parameter location with information about model fit, and hence can be misleading as summaries of the implications of the data for the location of parameters. Because classical confidence regions also present conceptual and computational problems in multivariate time series models, we suggest that likelihood-based bands, rather than approximate confidence bands based on asymptotic theory, be standard in reporting results for this type of model.     

Public support for Haitian earthquake victims: Role of attributions and emotions

This research examines the public's support for Haiti relief efforts after the earthquake in 2010 based on Weiner's (1995) attribution model. The causes of the destruction in Haiti were explained differently in two types of attribution messages: the controllable attribution message (faulty construction despite earthquake warnings) and the uncontrollable attributions message (the depth of the earthquake's epicenter and its proximity to Port-au-Prince, the capital). Compared with the controllable attribution message, the uncontrollable attribution message increased the public's willingness to support the victims of the Haiti earthquake, directly through personal donations and indirectly through corporate donations. Emotions such as sympathy and pity also predicted support, although emotions did not mediate the relationship between attributions and support.