The Multilevel Approach to Repeated Measures for Complete and Incomplete Data

Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternative approach is provided by multilevel analysis, also called the hierarchical linear model (HLM), which makes use of random coefficient models. This paper is a tutorial which indicates that the HLM can be specified in many different ways, corresponding to different sets of assumptions about the covariance matrix of the repeated measurements. The possible assumptions range from the very restrictive compound symmetry model to the unrestricted multivariate model. Thus, the HLM can be used to steer a useful middle road between the two traditional methods for analyzing repeated measurements. Another important advantage of the multilevel approach to analyzing repeated measures is the fact that it can be easily used also if the data are incomplete. Thus it provides a way to achieve a fully multivariate analysis of repeated measures with incomplete data. This revised version was published online in June 2006 with corrections to the Cover Date.     

More on the correct use of omnibus tests for normality

This Monte Carlo study compares the small sample properties of some commonly used omnibus and directional tests, based on the standardized third and fourth moments, for assessing the normality of random variables: the omnibus D'Agostino K² test and the directional components, and three versions of the Jarque–Bera test.     

中国和新加坡产业内贸易与规模经济关系的协整分析

中国和新加坡产业内贸易与规模经济存在着一种长期的均衡关系,新加坡生产企业的规模经济对产业内贸易的推动作用大于中国,中国和新加坡生产企业的规模经济与产业内贸易存在单向因果关系,即规模经济促进产业内贸易.     

Environmental Valuation with Imperfect Information The Case of the Random Utility Model

This paper considers welfare analysis with therandom utility model (RUM) when perceptions ofenvironmental quality differ from objectivemeasures of environmental quality. Environmental quality is assumed to be anexperience good, so that while perceptions ofquality determine choices, ex postutility is determined by objective quality. Given this assumption, I derive a measure ofthe welfare impact of changes in environmentalquality, and I show how this new welfaremeasure differs from the traditional welfaremeasure developed by Hanemann (1982). This newwelfare measure provides an approach tomeasuring the value of information aboutenvironmental quality within the framework ofthe random utility model.     

基于协整分析的东北区域产业结构优化与金融支持关系研究

基于1978—2003年的统计数据,采用协整关系检验法和格兰杰(Granger)因果检验法对东北地区金融发展与产业结构优化之间的关系进行了实证检验。分析结果表明东北区域产业结构优化与金融发展之间存在长期动态均衡关系及单向因果关系,即金融发展对东北区域产业结构优化具有支持作用,从而为政府经济决策提供了政策依据。     

The Random Walk Hypothesis in the Emerging Indian Stock Market

This paper examines the random walk hypothesis in the emerging Indian stock market using daily data on individual stocks. The statistical evidence in this paper rejects the random walk hypothesis. The results suggest that daily returns earned by individual stocks and by an equally weighted portfolio show significant non–linear dependence and persistent volatility effects. The non–linear dependence takes the form of ARCH–type conditional heteroskedasticity and does not appear to be caused by nonstationarity of underlying economic variables. Though conditional volatility is time varying, it does not explain expected returns.     

通用ATS实现技术研究

我国武器装备通用ATS(自动测试系统)经历了从引进、仿制到自行研制的过程，但是目前通用ATS总的局面是通用ATS不通用，这种局面主要是由于国内对通用ATS实现技术缺乏统一认识造成的。基于此，本文研究了与开发通用ATS密切相关的标准／规范、硬件配置技术、接口技术、集成测试软件开发环境技术。本文的研究结果适用于所有开发通用ATS的项目。     

Demand for broad money and expenditure components in Japan: an empirical study

The main objective of the present study is to examine empirically the long-run relation of broad money demand and its determinants in Japan. In contrast with previous study, the present study considers various components of final expenditure demand as determinants that are final consumption goods, expenditure on investment goods and exports. Using quarterly data over the period 1973Q1–2000Q2, the results of the bounds test [J. Appl. Econ. 16 (2001) 289] indicate a stable long-run relationship between demand of real M2 and its determinants. The empirical results also highlight that different domestic demand components yields different effects on Japanese broad money demand behavior. The estimated unrestricted error-correction model appears to track the data well and the results have important policy implications.     

EMBEDDED MATRICES FOR FINITE MARKOV CHAINS

For an arbitrary subset A of the finite state space 5 of a Markov chain the so–called embedded matrix P _A is introduced. By use of these matrices formulas expressing all kinds of probabilities can be written down almost automatically, and calculated very easily on a computer. Also derivations can be given very systematically.     

On efficiency of the ratio estimator

Summary The exact mean square error for the ratio estimator of a finite population total based on simple random sampling without replacement is shown to have an expected value less than that of the variance of the ratio estimator based on Midzuno’s scheme, under a usual super-population model.