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.     

Trends in British public investment

British public investment has declined sharply both as a share of GDP and as a share of government spending since the 1970s. Only part of this decline is explained by privatisation, which transferred some public investment to the private sector. More important was the very large and permanent reduction in public house‐building between the mid‐1970s and the early 1980s. Between the late 1980s and the early 1990s, the rate of public investment recovered somewhat, but after that time it declined again, reaching a record low in 1999. The most recent decline in public investment has affected a range of central government programmes, and it has not been significantly offset by investment under the Private Finance Initiative. The government now plans to increase investment spending, although levels look set to remain low by historical standards for some time to come.     

The Role of Expectations in Explaining the Cross-Section of Stock Returns

We find highly significant results when the cross-section of market-adjusted stock returns is regressed against changes in analyst expectations this year about: (1) this year's earnings, (2) next year's earnings, (3) long-term earnings growth, and (4) noise (measured as the standard deviation of analyst forecasts). Surprisingly, changes in expectations about this year's earnings are not significant in a multiple regression with the other independent variables. Changes in expectations about next year's earnings are highly significant but with an impact that is much smaller than that of changes in expectations about the long-term growth in earnings. Changes in noise are also statistically significant and are negatively related to market-adjusted returns, an indication that the signal to noise ratio, rather than merely the signal, is what drives price adjustments to new information.     

The Theory of Socially Embedded Games: Applications and Extensions to Open and Closed Games

An earlier article, drawing on the mathematical theory of rules and rule complexes, extends and generalizes game theory (GGT). The theory has been used to conceptualize and analyze diverse social relationships, roles, and games as particular types of rule complexes.For instance, a social role, as a major basis of a parent's action in a game, consists of at least four key components – which are mathematical objects – in the determination of action: value complex, model of reality (including beliefs and knowledge bases), a repertoire of acts, routines, programs, and strategies, and modality, a role-specific algorithm for determining or generating action in game settings. This article applies and extends GGT in analyses of a market bargaining game (a type of open game) and of the classical game of prisoners' dilemma (a type of closed game). The applications show the concrete effects of social embeddedness on game structuring, game interaction patterns and outcomes, and social equilibria.     

Growth and welfare effects of business cycles in economies with idiosyncratic human capital risk

This paper uses a tractable macroeconomic model with idiosyncratic human capital risk and incomplete markets to analyze the growth and welfare effects of business cycles. The analysis is based on the assumption that the elimination of business cycles eliminates the variation in idiosyncratic risk. The paper shows that a reduction in the variation in idiosyncratic risk decreases the ratio of physical to human capital and increases the total investment return and welfare. If the degree of risk aversion is less than or equal to one, then economic growth is enhanced. This paper also provides a quantitative assessment of the macroeconomic effects of business cycles based on a calibrated version of the model. Even for relatively small degrees of risk aversion (around one) the model implies that the elimination of business cycles has substantial effects on investment in physical and human capital, economic growth, and welfare.     

Model selection in random effects models for directed graphs using approximated Bayes factors

With the development of an MCMC algorithm, Bayesian model selection for the p ₂ model for directed graphs has become possible. This paper presents an empirical exploration in using approximate Bayes factors for model selection. For a social network of Dutch secondary school pupils from different ethnic backgrounds it is investigated whether pupils report that they receive more emotional support from within their own ethnic group. Approximated Bayes factors seem to work, but considerable margins of error have to be reckoned with.     

北欧维修指标分析和欧盟维修学会的关键指标

在欧洲，把维修指标作为全部管理系统一部分的公司越来越多。本重点介绍欧盟维修学会(EFNMS)的关键指标及其定义。在丹麦、芬兰和瑞典曾经使用(北欧维修指标分析)(Nordic Benchmarking Analysis)一中的欧盟维修学会指标，提高了他们工业的维修效率和生产效率。本着重说明关键指标的分析与使用所带来的成果，以及把这些成果与世界级水平相比较。     

Knowledge spillover from other assurance services

We argue that services which are complimentary and closer aligned to the annual report audit provide greater insight about risk and are more likely to exhibit the existence of economies of scope (knowledge spillover) through a positive association with audit fees. Specifically, we consider the potential for knowledge spillover from the auditing of triennial Long-Term Plans (LTP) to the annual report audit for a large sample of New Zealand municipals over the period 2005–2013. We find the LTP audit fees are positively related to municipal annual report audit fees and other fees (audit of for-profit subsidiaries, non-audit services) are not. This suggests that knowledge spillovers are dependent on the nature of the additional services. We also find evidence of higher fees for private sector auditors for both the annual report and the LTP audit. The LTP (forecast) audit fee is associated with municipal size, complexity, and political competition.