State‐Dependent Forward Guidance and the Problem of Inconsistent Announcements

Forward guidance can be provided as an unconditional promise, i.e. commitment to a specific low policy rate. Alternatively, the promise may include an escape clause, i.e. a condition defining the state of the economy under which the central bank would not keep such a low rate and, instead, it would revert to setting policy under discretion. The escape clause can be expressed as a threshold in terms of a specific variable. The present paper shows that, when such a threshold is expressed in terms of an endogenous variable (e.g. output, inflation), there are cases where it becomes impossible for the central bank to act in a way that is consistent with its promise. Consistency imposes limits on the policy rate that can be set since reverting immediately to the optimal discretionary rate can be incompatible with exceeding the threshold.     

Testing Rival Theories of Budgetary Decision–making in the US States

This article tests three common budgetary decision–making theories in the US states. Pooled time series cross–section analysis is used from 1960 to 1996 to test the garbage can theory and incrementalism, and from 1989 to 1996 to test various theories of rational budgeting. The results demonstrate that there was some support for all three theories in terms of their impact on reducing state budget outputs. Rational budgeting reduces expenditures in aggregate, incrementalism has relatively low explanatory power below the aggregates, and garbage can budgeting is more prevalent in functional areas than for government as a whole. These findings imply that the future research agenda on budgetary decision–making theories should focus more on a system–wide approach, which takes into account many of the characteristics of all three rival models of decision–making, rather than exclusively focusing on each one singly.     

Consumption and stock markets in Asian economies

This paper investigates the causal links between stock market performance and consumption for five Asian economies by applying the bound tests of Pesaran et al. and lag augmented VAR of Toda and Yamamoto . We find two‐way causal relationships between stock market performance and consumption in the cases of Hong Kong and Taiwan in the long run. The existence of such two‐way causal links indicates that stock market performance and consumption mutually affect each other, implying that the previous studies may have overestimated the wealth effect of the stock markets without taking account of the reverse causation from consumption to the stock markets. The short‐run effect of the stock market on consumption is more visible than the long‐run effect in most of the sample economies, suggesting that changes in consumption directly reflect stock market fluctuations.     

机动平台识别器方位零值的几种标校方法

方位零值标校是识别器设邸统标校的一项重要内容。针对机动平台识别器设备进场安装，提出了几种标校方法，旨在解决机动平台识别器的方位零值标校问题。     

VMI在"零库存"管理应用中的研究

从供应链系统化、集成化理论出发，针对VMI策略挑战零库存管理的运行方法、运行效果、原则和策略进行了探讨。     

城市低收入保障制度与反贫困的公共政策

城市低收入保障制度实施中“应保未保”的现象较为普遍，低收入保障所需资金的缺口较大，缺乏全国统一的贫困标准使得其随意性很大。解决这一社会问题必须从近期和远期两个目标入手，近期目标是尽快遏制城市贫困人口剧增的势头，防止在深化改革的过程中出现快速增长的新生贫困人口；远期目标是立足最终消除城市贫困现象。     

配送计划的优化编制方法

讨论了在时间、距离和载重量等多种约束条件下，编制配送计划的优化方法。先给出配送问题的数学模型，并设计了一个带时间和距离约束条件的启发式算法来求解该模型，求得问题的近似解；然后再采用分枝定界法得到配送问题的最优解：最后，考查近似解与最优解在总的运行距离的相对误差，以此检验这个近似解的有效性。     

公路施工企业复合标底投标报价博弈模型的研究

通过对公路工程复合标底投标报价的分析,研究了复合标底的评分办法的博弈规则,建立了基于博弈论的投标报价模型,分析了模型的假设条件及适用范围,并对模型进行了全面评述。     

浅论我国建筑企业的物流供应链管理

在我国加入世贸组织之后,物流作为“第三利润源”进入了各个行业.本文以现代企业物流供应链管理为导向,与传统模式对比,对当今建筑企业物流供应链管理做了分析,提出了我国建筑企业物流供应链管理的应对措施与发展战略.     

Portfolio Optimization under Lower Partial Risk Measures

Portfolio management using lower partial risk (downside risk) measures is attracting more attention of practitioners in recent years. The purpose of this paper is to review important characteristics of these riskmeasures and conduct simulation using four alternative measures, lower semi-variance, lower semi-absolute deviation, first order below targetrisk and conditional value-at-risk.We will show that these risk measures are useful to control downside risk whenthe distribution of assets is non-symmetric. Further, we will propose a computational scheme to resolve the difficultyassociated with solving a large dense linear programming problems resulting from these models. We will demonstrate that this method can in fact solve problems consisting of10⁴ assets and 10⁵ scenarios within a practical amount of CPU time.