组织机构代码数据深度挖掘在城市经济决策中的作用浅析

数据挖掘技术的出现为组织机构代码办证过程中积累原始数据的深层次开发应用提供了一种可行的手段。文章介绍了数据挖掘在组织机构代码工作中的使用目的和实现方法,并结合实际数据详细分析了代码信息的应用,希望通过对代码数据的挖掘为决策者提供有用的信息参考。     

A bivariate Poisson count data model using conditional probabilities

The applied econometrics of bivariate count data predominantly focus on a bivariate Poisson density with a correlation structure that is very restrictive. The main limitation is that this bivariate distribution excludes zero and negative correlation. This paper introduces a new model which allows for a more flexible correlation structure. To this end the joint density is decomposed by means of the multiplication rule in marginal and conditional densities. Simulation experiments and an application of the model to recreational data are presented.     

一种基于PXI的多功能数据采集模块

在FPGA设计过程中使用逻辑分析仪会占用更多的RAM块,为解决这种局限,基于PXI总线的支持多种串行通信方式的数据采集模块可以轻松将FPGA的内部状态提取出来,并作存储和显示。     

A closer look at return predictability of the US stock market: evidence from new panel variance ratio tests

This paper examines the return predictability of the US stock market using portfolios sorted by size, book-to-market ratio and industry. We use novel panel variance ratio tests, based on the wild bootstrap proposed in this paper, which exhibit desirable size and power properties in small samples. We have found evidence that stock returns have been highly predictable from 1964 to 1996, except for a period leading to the 1987 crash and its aftermath. After 1997, stock returns have been unpredictable overall. At a disaggregated level, we find evidence that large-cap portfolios have been priced more efficiently than small- or medium-cap portfolios; and that the stock returns from high-tech industries are far less predictable than those from non-high-tech industries.     

The Stambaugh bias in panel predictive regressions

This paper analyzes predictive regressions in a panel data setting. The standard fixed effects estimator suffers from a small sample bias, which is the analogue of the Stambaugh bias in time-series predictive regressions. Monte Carlo evidence shows that the bias and resulting size distortions can be severe. A new bias-corrected estimator is proposed, which is shown to work well in finite samples and to lead to approximately normally distributed t-statistics. Overall, the results show that the econometric issues associated with predictive regressions when using time-series data to a large extent also carry over to the panel case. The results are illustrated with an application to predictability in international stock indices.     

基于星上自适应FEC的卫星数据分发

为了解决卫星数据分发系统中雨衰对下行链路的异构性影响,建立了基于再生转发器和多波束技术的卫星数据分发系统简化模型,提出了采用星上自适应分组级FEC（Forward Error Control）的下行链路差错控制方法,针对下行链路的降雨等级自适应选择纠错码率,在不占用上行共享链路的情况下,实现对下行链路差错控制的动态调整,给出了采用RSE码的星上自适应FEC的算法公式,通过MATLAB软件和端到端的FEC技术进行了仿真比较分析,结果表明,当下行链路降雨率小于50%时,网络吞吐率可提高12%~25%。该策略可以为多波束宽带卫星数据分发系统的设计提供参考。     

基于Klein资本开放模型的实证研究及其对中国的启示

对于资本项目开放这一热点问题,Klein(2003)所建立的模型为研究指明了方向,该模型强调了资本开放对经济增长的影响受本国国情因素的制约。本文在原模型思想的基础上,采用面板数据分析方法研究了资本开放的动态过程,并以和中国国情相似的拉美和亚洲一些发展中国家为样本,使结果对我国的资本项目开放更有意义。最后针对我国目前的国情,结合实证分析结果,给出对我国资本项目开放的一点建议。     

Stock markets, banks, and economic growth: Empirical evidence from the MENA region

Over the last four decades, a wide theoretical debate is concerned with the fundamental relationship between financial development and economic growth. Recent studies shed some light on the simultaneous effect of banks and financial system development on growth rather than a separate impact. The empirical study is conducted using an unbalanced panel data from 11 MENA region countries. Econometric issues will be based on estimation of a dynamic panel model with GMM estimators. Thus, peculiarities of MENA region countries will be detected. The empirical results reinforce the idea of no significant relationship between banking and stock market development, and growth. The association between bank development and economic growth is even negative after controlling for stock market development. This lack of relationship must be linked to underdeveloped financial systems in the MENA region that hamper economic growth. Then, more needs to be done to reinforce the institutional environment and improve the functioning of the banking sector in the MENA region. Based on these results, other regions at the same stage of financial development such as Africa, Eastern Europe or Latin America should improve the functioning of their financial system in order to prevent their economies from the negative impact of a shaky financial market.     

大数据对法院司法统计的积极功效及边界

最高人民法院于2016年应用人民法院大数据管理和服务平台以后,全国法院司法统计完全实现计算机自动采集。从发展脉络来看法院司法统计正处于智能化转型阶段,仍然存在一些问题。随着大数据及新技术的引入,司法统计“大数据”得以成为现实,包括了数据采集的全面化、统计分析的综合化、统计平台的社会化,进而提出了大数据助力司法统计精准化的具体路径,包括了提高基础数据的量与质、加强对司法统计数据的深度分析和可视化分析、推进基础设施建设。然而,二者并不具有正相关性。因此,推进司法统计大数据化需要注意有两个限度。