中美豆油期现货市场国际关联性及动态预测研究

期货市场国际关联性主要通过同一期货产品在跨国跨市场的期货价格互动关系上体现出来。通过利用协整检验、动态预测、方差分解和脉冲响应函数等技术对中美豆油期货市场的关联性研究发现：大连、芝加哥交易所豆油期货价格和中国豆油现货平均价格之间存在长期均衡关系，总方差中来自于大连、芝加哥期货市场舜口中国豆油现货市场分别为52％、38％和10％。在世界豆油期货市场中，大连商品交易所的影响力与权威性都比芝加哥商品交易所更大和更强。     

Efficiency analysis of university departments: An empirical study

Universities play an important role in the development of a country in this age of the knowledge economy. As government subsidies to universities have been reducing in recent years, the more efficient use of resources becomes an important issue for university administrators. This paper applies data envelopment analysis (DEA) to assess the relative efficiency of the academic departments at National Cheng Kung University in Taiwan. The outputs considered are total credit-hours, publications, and external grants; and the inputs utilized by the departments are personnel, operating expenses, and floor space. An assurance region is constructed by the top administrators of the university to confine the flexibility in selecting the virtual multipliers in DEA. Four groups of departments of similar characteristics are categorized via an efficiency decomposition and cluster analysis. The aggregate efficiency indicates whether the resources have been utilized efficiently by a department and the efficiency decomposition helps identify the weak areas where more effort should be devoted so that the efficiency of the department can be improved.     

Removing the anonymity axiom in assessing pro-poor growth

The recent focus on ‘pro-poor growth’ led also to an intense debate on how exactly to define and to measure pro-poor growth. All suggested measures have in common that they are based on the anonymity axiom. Such a perspective may provide a very incomplete picture given that the common objective of most studies investigating the pro-poorness of growth is to test whether specific policy reforms where beneficial to the initially poor or not. I suggest a new concept of pro-poor growth which removes the anonymity axiom, and, using an illustration based on data from Indonesia and Peru, I check whether the assessment of pro-poor growth is different when an anonymous and a non anonymous approach to pro-poor growth is used. I also suggest an original decomposition of poverty changes over time which links both concepts. The results show that the choice of the approach has a drastic impact on the interpretation of the data.     

A cautionary note on generalized linear models for covariance of unbalanced longitudinal data

Missing data in longitudinal studies can create enormous challenges in data analysis when coupled with the positive-definiteness constraint on a covariance matrix. For complete balanced data, the Cholesky decomposition of a covariance matrix makes it possible to remove the positive-definiteness constraint and use a generalized linear model setup to jointly model the mean and covariance using covariates (Pourahmadi, 2000). However, this approach may not be directly applicable when the longitudinal data are unbalanced, as coherent regression models for the dependence across all times and subjects may not exist. Within the existing generalized linear model framework, we show how to overcome this and other challenges by embedding the covariance matrix of the observed data for each subject in a larger covariance matrix and employing the familiar EM algorithm to compute the maximum likelihood estimates of the parameters and their standard errors. We illustrate and assess the methodology using real data sets and simulations.     

ORDANOVA: Analysis of ordinal variation

In order to accelerate object evaluation, some measurement systems commonly use an ordinal scale (e.g., stick results, quality estimation). This paper presents a way to analyze ordinal data variation. As in classical ANOVA for continual data, ORDANOVA for ordinal data splits the total variation into within and between components. This decomposition has various practical applications such as classification, cluster analysis, distinguishing feature identification and so on.     

证券市场开放速度的影响和决定

加速开放中的中国证券市场,有必要衡量进程加速的效应和最优速度。通过股市波动率分解,将波动分解为普通市场反应带来的连续型和过度反应带来的跳跃型波动,细致分析了加速开放对股市的影响,并权衡总波动的大小和结构以估算最优开放增速。实证发现加速引入国际机构资本可以有效降低波动性,但股市信息融解效率仍较低,体现在跳跃型方差占比高;市场状况会影响最优增速,估算现阶段适当的外国资本审批额度月增速约为12%。最后对利用境外资本健全证券市场提出建议。     

中国农村亲贫困增长测度及其分解

摘　　要:亲贫困增长主要是指能够使贫困群体参与经济活动并从中得到更多好处的经济增长。在讨论经济增长、不平等与贫困规模变动相关关系的基础上,本文构建了一种基于收入分布的亲贫困增长测度方法并用Shapley值法对之进行因素分解,并采用CHNS农村住户调查数据进行实证分析,得到中国经济的高速增长并不能够自动缓解贫困,需要进一步采取瞄准式扶贫措施来解决的结论 。     

农村集体产权制度改革如何影响农民幸福感？——基于中国乡村振兴调查数据的实证分析

运用中国乡村振兴调查（CRRS）数据库2019年数据,实证检验了农村集体产权制度改革对农村居民幸福感的影响及作用机制,并利用Oaxaca-Blinder分解法探究了未完成改革和完成改革两类村民之间幸福感差异的影响因素及各因素的影响程度。结果显示农村集体产权制度改革显著提高了农村居民幸福感。机制分析表明,农村集体产权制度改革通过壮大村庄集体经济发展水平、减少家庭成员外出就业来增进农村居民幸福感。进一步的异质性分析显示,改革对中低收入和曾经建档立卡贫困户幸福感的促进作用更明显。而结合Oaxaca-Blinder分解结果与农村集体产权制度改革过程中的政策可干预性,增强农民对村干部的信任程度与提升农村治安类公共品供给,是降低改革与未改革两类村民幸福感差异的重要原因。     

中国进出口贸易与经济增长的互动关系研究

通过对中国1978—2004年进出口贸易和国内生产总值GDP之间的关系进行Granger因果检验,结果表明进口和GDP之间存在着显著的单向因果关系,同时进口是出口的格兰杰原因,而出口不是进口的格兰杰原因;作广义脉冲响应分析与方差分解,结果显示进口对GDP的影响要远大于后者对前者的影响,同时GDP对出口的脉冲响应大于对进口的脉冲响应。这说明进口对GDP有着显著的单向作用,所以当前不断增长的进口走势对GDP的增长具有决定性作用。