编辑器：每当打开一个数据模型或一个数据图时，它就显示在该面板中，位于屏幕的中间。
Editor: Every time you open a data model, and or a diagram, they are shown in this pane, located in the center of the screen.
它寻找用于创建数据模型、数据库连接或ddl脚本的相同方法，然后执行比较，并在比较面板中显示结果。
It seeks the same method used to create the data model, a database connection, or a DDL script, then performs the compare, and displays the results in the compare pane.
属性面板：该面板显示打开且活动的对象(即一个逻辑数据模型中的数据模型或实体)的属性。
Properties pane: This pane shows the properties of the object that is open and active (in other words, a data model, or an entity inside a logical data model).
利用面板数据模型研究了机构投资者对董事会效率的影响。
The influence of institutional investors on director board efficiency was studied using the panel data model.
但是本文利用面板数据模型的实证研究却发现我国现行的基金管理费计提方法没有起到应有的激励作用。
But in this paper, the empirical study based on panel data model shows that China's existing fund management fees collection method can not play an incentive role.
研究了动态面板数据模型的诊断检验问题。
In this paper, some diagnostic checking tools are proposed for dynamic panel data models.
利用斯旺-索洛模型，借助面板数据，对福建省各地区经济增长条件收敛进行分析，估算条件收敛速度，揭示了福建省落后地区以较低速度实现对发达地区的赶超的事实。
It also calculates the conditional convergence speed of the province by applying Solow-Swan model with panel data, and finds that a slow but steady catch-up does exist in the province.
分析了面板数据模型的类型、参数估计和模型选择方法；
The type of panel data model, estimation of parameters and choose method of model will be analyzed.
基于此，本文构建了条件双因子评价模型，并且以中国全部54只封闭式基金为样本采用面板数据回归技巧验证了该模型的有效性。
This paper builds a conditional two-factor measure model, and proves the efficiency of this model using panel data regression skill. The samples are 54 Chinese close-end funds.
利用时变参数模型和面板数据模型，可以对积极财政政策的全要素生产率增长效应进行分析。
This paper uses time-varying parameter model and panel data model to analyze the effects of the active fiscal policy on total factor productivity of national economy and provincial economy in China.
本文提出了一个稳健的方法分别检验面板数据模型中随机个体效应和随机时间效应的存在性。
This paper proposes a robust method to respectively test for the existence of individual effects and time effects in panel data models.
最后采用浙江省11市的面板数据，建立固定效应变截距模型检验各市金融结构与经济增长的关系。
Finally it establishes a fixed effect variable intercept model to check financial structure differences with panel data of 11 cities in Zhejiang.
在运用面板数据模型进行实证分析时，由于使用的样本数据包含了个体、时间、指标三个方向上的信息，因此模型形式的设定非常关键。
When doing the empirical analysis with the Panel-Data model, it is crucial to set the form of model correctly, because the sample data includes the information of individual, time, and so on.
在综合考虑知识产出和投入空间溢出效应的基础上，构建了改进的知识生产空间面板数据模型。
Considering spatial spillover effects of outputs and inputs, a modified knowledge production spatial panel data model is established.
在对个股影响因素的研究过程中，选取858个数据，建立了动态面板数据模型。
When studying on the influencing factors of stock, this paper has founded dynamic panel-data model using 858 data.
因此该面板数据模型异常值的识别问题是一项重要的研究工作。
Therefore, the identification of outliers in panel data model is a very important work.
面板数据模型是探讨粮食生产空间格局变化的影响因素与驱动机制的适宜方法。
Panel data model is a roper method for investigating the influencing factor and driving mechanism of spatial pattern change of grain production.
构建动态结构模型，根据2000 ~ 2006年中国上市公司的面板数据，运用系统广义矩方法对其进行了检验。
Based on the analysis of the panel data of China's listed firms from 2000 to 2006, this paper tests the relationship with SYS GMM through establishing the dynamic structure model.
面板数据模型研究表明，实际利率的影响是负的，通胀波动性对债务期限结构有显著的负影响。
Through panel data model, we find that the impacts of real interest rates is negative, inflation volatility has a significant negative impact on debt maturity structure.
所谓动态面板数据模型，是指通过在静态面板数据模型中引入滞后被解释变量以反映动态滞后效应的模型。
The so-called dynamic panel data model, is the panel data model which reflects the dynamic hysteresis effect by introducing lagged response variables to the static model.
运用个体时点固定效应的面板数据模型，构建比横截面数据模型更为真实的行为方程，并与传统的区位因素进行比较分析。
Also, the paper use an individual-time fixed panel data model to build a more real acts equation than the cross section data model, and compare with traditional factors.
本文利用1990- 2004年中国各地区的数据采用面板数据方法对扩展的模型进行了估计。
Based on the provincial data during 1990-2004, we estimated the related equations with panel data method.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
应用推荐