经济政策不确定性如何影响企业出口决策？——基于出口频率的视角

出口频率作为出口决策的重要一环,是企业出口扩张的新边际,也是出口变化的“晴雨表”。本文在随机存货模型的基础上,考察了经济政策不确定性对企业出口频率的影响及其传导渠道,并采用2000-2006年工业企业数据库与海关数据库的匹配数据进行实证检验,结果发现:目的国经济政策不确定性增加会显著降低企业出口频率,且这一影响存在部分惯性效应;经济政策不确定性通过贸易成本、存货成本和市场需求波动共同影响企业出口频率的中介效应十分显著,其中贸易成本是最重要的传导渠道,占比达到19%以上;如果进一步考虑目的国、产品和企业异质性,会发现出口目的国经济发展水平较高、出口产品为中间品和消费品的企业,其出口频率受经济政策不确定性的影响较小。因此,政府和企业应高度关注出口频率的变化趋势,合理应对经济政策不确定性对出口决策的外部冲击。     

The trilemma between accuracy,timeliness and smoothness in real-time signal extraction

The evaluation of economic data and the monitoring of the economy is often concerned with an assessment of the mid- and long-term dynamics of time series (trend and/or cycle). Frequently, one is interested in the most recent estimate of a target signal, a so-called real-time estimate. Unfortunately, real-time signal extraction is a difficult estimation problem that involves linear combinations of possibly infinitely many multi-step ahead forecasts of a series. Here, we address the performances of real-time designs by proposing a generic direct filter approach. We decompose the ordinary mean squared error into accuracy, timeliness and smoothness error components, and we propose a new tradeoff between these competing terms, the so-called ATS-trilemma. This formalism enables us to derive a general class of optimization criteria that allow the user to address specific research priorities, in terms of the accuracy, timeliness and smoothness properties of the corresponding concurrent filter. We illustrate the new methods through simulations, and present an application to Indian industrial production data.     

解非线性电路稳态响应的一种有效算法

本文提供一种计算非线性电路的稳态响应的有效算法,在多频信号激励的强迫振荡电路和耦合振荡电路都可使用。该方法可称为“代换算法”。因为,它每一步的变量都是用残留误差的各个频率分量解关联时不变电路,该电路是用“松弛法”将时变电路转换而来。此算法非常简单而有效,并且可应用于各种非线性电路。     

频率复用系统同信道干扰抑制因子的研究

随着中国加入WTO及中国经济的发展,国外、国内企业的国际直接投资、融资需求将进一步扩大。因此,招商引资中介服务将越来越重要。但目前在我国国际直接投、融资中介方面还存在诸多问题,不能适应发展的需要。将传统的方式与现代的网络技术相结合,把整合营销的观念引入招商引资中,发展招商引资中介业,促进国际资本流动和我国经济的发展,有着重要的意义。     

一种加快频率合成器跳频速度的新方法

<正> 目前,欧共体单一市场的建立正紧锣密鼓地展开,为促成单一市场而提出的279项法规已通过过半。针对1992年后的欧共体单一市场,无论是发达国家还是发展中国家都在积极准备,寻求对策。激烈的竞争态势已经呈现。我国对欧共体出口也面临严峻形势。如何在未来的欧洲统一大市场中占有一席之地,已成为一项迫切需要研究的课题。     

有效证券市场及其启示

随着我国经济体制改革的深入进行,证券买卖方兴未艾,越来越多的人想知道有关证券方面的知识,了解证券市场的运行机制,从而进行证券买卖活动。     

Limits to air travel growth: The case of infrequent flyers

Most air travel forecasts predict a long-term rise in demand, with limited consideration of any limits to growth. However for any given population there will be those who have not flown recently (‘infrequent flyers’), as well as non-flyers, and little is known about these and whether they are likely to fly in the future. The aim of this paper is to analyse the characteristics of these groups and the reasons for their travel habits, using the UK as a case study. The findings show that infrequent flyers make up a heterogeneous consumer group whose non-flying is influenced more by budget constraints and personal circumstances than specific aviation factors. Comparisons with Belgian, German and Dutch infrequent flyers indicate some similarities, although there are differences in the relative importance of the reasons for not flying. The findings have implications for the aviation industry and regulators, and policy areas related to consumers and climate change.     

中国宏观经济总量的实时预报与短期预测——基于混频数据预测模型的实证研究

季度GDP的走势与波动不仅会影响政府的财政收支、企业的盈利和财务状况,甚至还会影响家庭和个人的收入与支出,是宏观经济总量预报、预测与分析的重中之重。传统的宏观经济总量预测模型是基于同频数据进行的,高频和超高频数据必需处理为低频数据,这不仅忽略了高频数据信息的变化,还影响了模型预报和预测的及时性,降低了模型的预测精度。本文将混合数据抽样模型(MIDAS)用于中国季度GDP的预报和预测,实证研究表明,出口是造成我国金融危机时期经济增长减速的主要因素,MIDAS模型在中国宏观经济总量的短期预测方面具有精确性的比较优势,在实时预报方面具有显著的可行性和时效性。     

Commodity prices and inflation: Testing in the frequency domain

We provide evidence for a long term, positive relation between commodity prices and inflation. However, this is only detected when frequency dependency in the regression is statistically accounted for, suggesting nonlinear dynamics between the variables. We also test whether commodity prices can be used to forecast inflation. Again relying on frequency domain methods, we indeed find support for long term causality from commodities to inflation. Moreover, the information content of commodity futures prices is robust to the effects of several financial and economic variables.