菲利普斯曲线在中国的有效性研究

从基本的菲利普斯曲线理论出发,提出了新的适应性预期模型,并以此为基础建立附加预期的菲利普斯曲线方程,进而估计出我国近年来的自然失业率水平,由此证明了菲利普斯曲线在我国的有效性,并描述了预期因素对实际通货膨胀水平的影响。最后结合实证分析结果提出解决我国通货膨胀和失业问题的建议,如保证货币政策的连贯性、加强信息披露、解决结构性失业问题等。     

A qualitative study on participants’ perceptions of child development accounts in Korea

ABSTRACT

In 2007, Korea implemented Child Development Accounts (CDAs) for institutionalised children in child welfare systems. Since then, the target group and a matching cap of CDAs in Korea have evolved. The target group expanded to include poor children receiving welfare, whereas the matching cap increased from KRW 30,000 (US$26.53) to KRW 40,000 (US$35.38), which is matched at a 1:1 rate. Despite the expansion, there is little empirical evidence examining the extent to which CDAs have influenced the life of participants. Using a content analysis method with a sample (N = 22), this study examines how CDAs have changed children’s mindsets, saving habits, education, future planning and sponsorship. The findings suggest that CDAs have multiple positive influences on children. This study concludes with policy implications for the inclusive and progressive development of CDAs in Korea.     

论王弼《老子注》的形成与玄学背景下的道儒融通

王弼的《老子注》形成于汉魏之际,由两汉经学向魏晋玄学的学术转向时期。结合当时的社会需要,王弼在《老子注》中创造性地提出了崇本息末的观念和名教本于自然的基本原理,并以此为基础对道儒关系进行了系统的论证。这不仅从理论上解决了汉魏之际道儒融通的时代课题,而且对于推动《老子》解释学和中国道学史研究的发展也具有重要的方法论意义。     

额什丁家族史论

考察 14世纪以后的苏非派 ,不应忽视额什丁家族的重要作用。这一家族并不是中亚显赫的家族 ,但在特定时期登上了历史的舞台 ,并且其家族首领扮演了较为特别的角色。同时 ,他们和上层统治者有着千丝万缕的联系。这似乎是一种历史的偶然性或者是巧合 ,但仔细探究当时的历史背景 ,不难看出宗教和政治自身需要的内在互动以及或明或暗的结合 ,完成了家族的双重“使命” ,也为一个王朝的灭亡埋下了伏笔     

少数民族地区旅游开发条件比较研究--以甘肃省肃南县和贵州省黎平县为例

文章通过特尔菲法建立少数民族地区旅游开发条件评价的指标体系 ,利用该指标体系对甘肃省肃南县和贵州省黎平县进行单项评分和综合评价 ,并依据分析结果对两地旅游业的发展提出建议。     

因子模型门槛效应的LM和Wald检验及其统计性质研究

门槛因子模型可以有效地刻画高维度时间序列的共变特征和区制转换行为,具有良好的可解释性和预测能力。针对因子载荷矩阵存在的门槛效应,本文提出了拉格朗日乘子和沃尔德检验方法,并给出了渐近分布,相关结果表明以上检验统计量具有良好的大样本性质和有限样本表现。在实证部分,以我国股市的行业指数作为研究对象,通过构建门槛因子模型来刻画我国股票市场波动的共变性特征和非对称效应。实证结果表明基于门槛因子模型可以很好地刻画中国股市行业收益率波动的共变特征和区制转换行为。     

自媒体时代历史虚无主义思潮的传播及其反制

历史虚无主义在意识形态层面否定马克思主义的指导地位与唯物史观,歪曲丑化了中国共产党的领导。历史虚无主义思潮借助自媒体平台呈现出的碎片化、隐匿化与庸俗化倾向,在当下自媒体平台肆意传播,在社会上造成了极其恶劣的影响。在此背景下,必须深入分析历史虚无主义思潮在自媒体平台的传播方式及其规律,有针对性地提出相应的反制策略,在重建马克思主义唯物史观的同时,营造健康的网络道德教育环境。     

创投机构声誉、减持退出收益与公司业绩的影响效果——基于我国创业板制造业上市公司的实证分析

本文选取创业板上市公司为样本,实证创投机构声誉、减持退出行为收益与上市公司经营业绩的影响效果。研究发现:有创投参投的上市公司其经营业绩并未能明显优于无创投参投的上市公司,创投减持退出并未造成上市公司业绩显著下滑,创投机构减持行为与参投上市公司的业绩无显著关联;创投机构会发生聪明投资者的择时减持行为,借此获取超额减持收益;不同声誉创投机构退出行为的自我约束效力不同,高声誉创投机构减持退出行为更加理性。?更多还原     

A Necessary Condition for the Strong Oracle Property

A problem of using a non‐convex penalty for sparse regression is that there are multiple local minima of the penalized sum of squared residuals, and it is not known which one is a good estimator. The aim of this paper is to give a guide to design a non‐convex penalty that has the strong oracle property. Here, the strong oracle property means that the oracle estimator is the unique local minimum of the objective function. We summarize three definitions of the oracle property – the global, weak and strong oracle properties. Then, we give sufficient conditions for the weak oracle property, which means that the oracle estimator becomes a local minimum. We give an example of non‐convex penalties that possess the weak oracle property but not the strong oracle property. Finally, we give a necessary condition for the strong oracle property.     

Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation

Inverse probability weighting (IPW) and multiple imputation are two widely adopted approaches dealing with missing data. The former models the selection probability, and the latter models data distribution. Consistent estimation requires correct specification of corresponding models. Although the augmented IPW method provides an extra layer of protection on consistency, it is usually not sufficient in practice as the true data‐generating process is unknown. This paper proposes a method combining the two approaches in the same spirit of calibration in sampling survey literature. Multiple models for both the selection probability and data distribution can be simultaneously accounted for, and the resulting estimator is consistent if any model is correctly specified. The proposed method is within the framework of estimating equations and is general enough to cover regression analysis with missing outcomes and/or missing covariates. Results on both theoretical and numerical investigation are provided.