Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models

Nine macroeconomic variables are forecast in a real-time scenario using a variety of flexible specification, fixed specification, linear, and nonlinear econometric models. All models are allowed to evolve through time, and our analysis focuses on model selection and performance. In the context of real-time forecasts, flexible specification models (including linear autoregressive models with exogenous variables and nonlinear artificial neural networks) appear to offer a useful and viable alternative to less flexible fixed specification linear models for a subset of the economic variables which we examine, particularly at forecast horizons greater than 1-step ahead. We speculate that one reason for this result is that the economy is evolving (rather slowly) over time. This feature cannot easily be captured by fixed specification linear models, however, and manifests itself in the form of evolving coefficient estimates. We also provide additional evidence supporting the claim that models which ‘win’ based on one model selection criterion (say a squared error measure) do not necessarily win when an alternative selection criterion is used (say a confusion rate measure), thus highlighting the importance of the particular cost function which is used by forecasters and ‘end-users’ to evaluate their models. A wide variety of different model selection criteria and statistical tests are used to illustrate our findings.     

Applying efficiency measurement techniques to the measurement of productivity change

Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has.     

基于多元统计分析的封闭式基金业绩评价

本文引入在险价值(VaR)和基金折价率指标,利用因子分析和聚类分析方法对基金业绩进行综合评价。实证分析发现我国封闭式基金收益率优于市场收益率,少数几只基金业绩相对突出,实现低风险高收益的目标。但封闭式基金折价幅度较大,基金内部收益水平与外部评价状况背离,反映了市场投资者的投资非理性现象。     

The housing question in Japan

This article first examines how bad housing conditions are in Japan based on international comparisons. The next question is whether the extremely high land prices in Japan can be explained by economic logic. We then turn to more specific housing policy questions that are peculiar to or important in Japan, such as the tax advantages of owning land that have caused under-utilization of land and the reasons why the average size of Japanese rental housing is so small.     

In at the deep end: Conducting processual research on organisational change

This article provides a series of reflections on the practice of carrying out processual research on organisational change. At a broad level, some of the main tasks associated with conducting company case studies are described and the benefits of this approach for dealing with complex change data are outlined. At a more specific level, the article addresses three main areas tied to the actual “doing” of processual research. First, the notion of tacit knowledge and “getting your hands dirty” by engaging in ongoing in-depth fieldwork. Second, the design and implementation of a longitudinal case study research programme. Third, the advantages and concerns of combining a range of different data collecting techniques in carrying out processual studies. Overall, the main intention is to provide some useful reflections and practical insights, as well as providing something of the flavour of carrying out this type of research.     

Legalization of drugs: Effects on the workplace

In the last few years bipartisan support for legalizing drugs has grown to a surprising level. Because of the lack of involvement of the business community in this debate, we surveyed the human resource managers of 127 firms about their perceptions of the effects of legalization. Their responses were uniformly negative, with expectations that drug use, absenteeism, worksite crime, and liability costs would increase, while the quality and quantity of work would decline. They also forecast increases in drug testing, performance monitoring, and education and rehabilitation programs as a result.     

基于汇率风险特征的对外物流企业汇率风险防范对策研究

从阐述汇率风险的特征出发，系统研究对外物流企业汇率风险防范的各种决策，并根据我国现有的外汇管理法律法规和金融市场的发育程度分析各种汇率风险决策的可操作性和约束条件。     

计件工资博弈中管理者的守诺与公平权衡——对计件工资制不流行的再解释

本文首先回顾总结了计件工资制度的发展过程和存在的问题,指出计件工资博弈陷入低效僵局的原因在于管理者的不履行事先的承诺。传统的解释是管理者事后抵挡不住自利的诱惑,本文认为管理者守诺还是不守诺是在权衡计件工资员工和计时工资员工激励效果后作出的理性的选择。管理者守诺只在一定的情形下发生所以计件工资制不流行。     

我国城市化危及土地资源持续利用的立法原因探析

随着我国城市化进程的不断加快 ,土地资源供给的有限性与人们对土地资源需求的无限性之间的矛盾日益突显。而在此背景下重新修订公布的《土地管理法》在涉及建设用地需求的无限扩展与农业用地数量的持续下降这两个突出问题上 ,并没有明确政府的职能定位 ,也反映出了相关制度的模糊性。本文就此进行了探讨。     

城市滨水区更新的土地利用策略

通过分析城市滨水地区土地利用现存问题及更新改造的动力因素,结合宁波市甬江东岸旧工业区改造规划,探讨了城市滨水区更新的土地利用策略,主要包括建立完善的土地储备制度、选择合理的用地功能布局以及制定土地开发控制和引导法则等内容.