Does aging influence structural change? Evidence from panel data

Our study represents a first attempt to single out the effects of aging on the entire structure of the economy that is approximated by employment shares in different sectors. We find that even after controlling for the effects of other relevant factors - e.g., income per capita, share of trade in GDP, government consumption share in GDP, population size - aging does have a statistically significant differentiated impact on the employment shares. In particular, we find that an increase in aging exerts a statistically significant adverse effect on the employment shares in agriculture, manufacturing, construction, and mining and quarrying industries. At the same time, an increasing share of the elderly (decreasing share of the youth) in society positively affects employment shares in community, social, and personal services as well as in the financial sector.     

TS模糊模型在个股股价预测中的应用研究

个股价格短期内的变化量一般可通过股票技术指标间接反映出来,且这些指标间有着一定的相关性;另外,股票价格模型具有Takagi-Sugeno(TS)模糊模型所研究问题的非线性、时变性特点,基于此,本研究将TS模糊模型与分析出的股票常用技术指标相结合进行股价预测。结果显示预测出的价格与股票实际价格近似一致,精度高,因此研究具有一定的实用价值。     

A Tale of Two Cities: Case Studies of Group Support Systems Transition

Research shows that, under certain circumstances, people using GSS can be substantially more productive than people who do not. However GSS has been slow to transition into the workplace. This paper argues that the Technology Transition Model (TTM) may be a useful way to explain this seeming paradox. The paper presents a case study of GSS transition in two organizations – one where a self-sustaining and growing community of users emerged, and one where it did not. Following TTM, it explores the frequency with which users perceived cognitive, economic, affective, political, social, and physical value from using the system. Comparison of the cases reveals differences in perceptions of value along several of these dimensions that are consistent with TTM. The findings suggest the model may be a useful way to explain the transition of collaboration technology, but more research will be required to test the model more rigorously.     

新兴市场经济国家通货膨胀与汇率制度选择

本文利用23个新兴市场经济国家20年间的面板数据,对汇率制度和通货膨胀的关系进行实证研究,对我国汇率改革实践进行了考察。从我国的实际情况看,汇率波动的幅度越大则通胀率均值越大,2005年实行管理浮动以来我国通胀率处于明显的上升趋势。我国应该限制人民币升值幅度,发挥汇率的名义驻锚的作用,以此遏制通胀的进一步发展。     

个人账户可继承性与计发月数内在关系的定量分析

计发月数是我国基本养老保险体系中个人账户的关键参数,本文通过构建包含继承份额的个人账户精算模型,修正了计发月数的计算公式,得到个人账户收支平衡的判别定理。研究表明,忽略可继承性会严重低估计发月数,并产生大量资金缺口;计发月数与期望寿命无直接关系;提高退休年龄不一定能增强支付能力;提高投资收益率,或降低计发月数并合理控制收支差额,是当前协调个人账户养老保障和财务支付能力的重要办法。     

商业银行现金持有量与宏观经济不确定性关系研究——基于面板数据的实证检验

本文研究了宏观经济不确定性对中国商业银行现金持有水平的影响。论文首先构建了一个GARCH模型得到代理变量来度量宏观经济不确定性,然后利用中国银行业2000～2009年的面板数据,实证检验了宏观经济不确定性对中国银行业现金持有水平的影响情况。实证结果表明:宏观经济不确定性对银行现金持有水平影响显著,当宏观经济不确定性增加、经济形势前景不明时,商业银行现金持有水平显著降低。     

创新要素流动对城市群协同创新的影响——基于长三角城市群与长江中游城市群的实证

利用2006-2017年长三角城市群和长江中游城市群共41个地级市面板数据,首先,运用拓展DEA法对两大城市群协同创新水平进行测度,然后,采用空间计量模型实证考察创新要素流动对城市群协同创新的影响,进一步以互联网发展水平为门限变量,构建门限模型,探析互联网发展对创新要素在城市群流动的协同创新效应是否存在门限效应。研究发现：创新要素流动对城市群协同创新影响的总效应显著为正,空间正向溢出效应显著,且存在群际差异;在两大城市群内,创新要素流动对城市群协同创新影响呈现非线性,创新人员流动对城市群协同创新影响呈“倒U型”特征,创新资本流动对城市群协同创新影响呈“U型”关系,相应拐点在不同城市群呈现异质性。     

基于互联网大数据的CPI舆情指数构建与应用

研究目标：基于互联网大数据构建CPI舆情指数辅助预测CPI。研究方法：提出了一种构建CPI低频与高频舆情指数的统计方法,并通过选用2006年6月至2015年12月的数据验证了该方法的有效性。研究发现：相关关键词的搜索热度指标具有领先CPI的预测作用,依此建立的CPI舆情指数有助于改进CPI预测精度。研究创新：揭示了基于相关关键词的搜索热度指标与CPI的非线性关系,提出了一种基于门限回归的CPI低频舆情指数构建方法;使用动态因子模型估计出了CPI高频舆情指数。研究价值：预测CPI时可辅助利用基于大数据构建的CPI低频与高频舆情指数信息。