Estimating a generalized correlation coefficient for a generalized bivariate probit model

In this paper we consider semiparametric estimation of a generalized correlation coefficient in a generalized bivariate probit model. The generalized correlation coefficient provides a simple summary statistic measuring the relationship between the two binary decision processes in a general framework. Our semiparametric estimation procedure consists of two steps, combining semiparametric estimators for univariate binary choice models with the method of maximum likelihood for the bivariate probit model with nonparametrically generated regressors. The estimator is shown to be consistent and asymptotically normal. The estimator performs well in our simulation study.     

北钞厂自动化立体仓库系统新技术应用

介绍了北京印钞厂自动化立体仓库的基本情况,重点论述了该工程所采用的新方案新技术以及应用情况。     

互联网行为管理系统(BCS)中精简TCP/IP的实现

文章介绍了对防火墙通用TCP/IP实现的修改,经修改过的TCP/IP实现将在代码量、协议的完备性、内存的开销、总体性能方面得到提高。     

浅析物流自动化立体仓储系统设计新技术

探讨了物流自动化立体仓储系统的组成及设计技术，详细给出了设计思想和设计步骤，最后对自动化仓储系统设计技术发展趋势作了展望。     

Measuring volatility with the realized range

Realized variance, being the summation of squared intra-day returns, has quickly gained popularity as a measure of daily volatility. Following Parkinson [1980. The extreme value method for estimating the variance of the rate of return. Journal of Business 53, 61–65] we replace each squared intra-day return by the high–low range for that period to create a novel and more efficient estimator called the realized range. In addition, we suggest a bias-correction procedure to account for the effects of microstructure frictions based upon scaling the realized range with the average level of the daily range. Simulation experiments demonstrate that for plausible levels of non-trading and bid–ask bounce the realized range has a lower mean-squared error than the realized variance, including variants thereof that are robust to microstructure noise. Empirical analysis of the S&P500 index-futures and the S&P100 constituents confirms the potential of the realized range.     

Econometric analysis of copyrights

This paper explores the impact of copyrights on firm value and on the demand for firm output. Using panel data on franchise value and ticket sales from the National Football League over the 1991–2000 period, we analyze the effect of copyrights (in this case, team logos) using several parametric estimators, the Arellano and Bond [1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58, 277–297] dynamic panel data estimator, and a semi-non-parametric method based on difference-in-differences propensity score matching. We find a negative effect of logo changes on franchise value that is robust across multiple specifications. In addition, logo changes also appear to have a moderate positive, albeit not particularly robust, impact on ticket sales.     

B2C电子商务物流配送中心选址模型研究

分析了B2C电子商务的发展趋势、发展瓶颈即物流配送成本,为优化物流成本,构建了基于不同路段运输单价不同的最优运输费用的物流配送中心选址模型.     

高校网上招生系统的后续开发与研究

针对目前院校端网上招生录取系统存在的局限性,文章详细介绍了高校网上招生后续开发管理系统的功能,讨论了系统实现中的关键技术及实现方法,指出该系统采用分布式计算技术,建立基于组件的3层C/S模型的体系结构,具有高效性、可伸缩性、开发周期短、安全性高的特点。     

我国出口集装箱运价指数研究

文章运用X-12-ARIMA方法对中国集装箱运价指数序列进行了季节调整，并采用TRAMO／SEATS季节调整方法处理了节假日因素的调整问题，然后对两个模型进行了比较，利用优选出来的模型将原序列分解成了各影响因素，最后对中国出口集装箱运价指数进行了精确的短期预测。     

Java语言的特点与C^＋＋语言的比较

Java语言是一门很优秀的语言,具有面向对象、与平台无关、安全、稳定和多线程等优良特性,是目前软件设计中极为健壮的编程语言.Java已成为网络时代最重要的语言之一.与C++语言比较,Java是一种更纯粹的面向对象程序设计语言.