油价冲击、货币政策调整与产出波动——基于中国的经验证据

本文基于我国2001-2010年宏观经济月度数据,采用SVAR模型分析了国际油价波动时,央行货币政策在排除回应油价干扰与未排除干扰下的反应差异及油价波动对产出的影响。研究发现,在排除货币政策回应油价波动干扰后,通过脉冲响应函数反映的油价波动对产出的短期负面影响消失。方差分解结果显示,长期内产出波动由油价冲击和货币政策解释的比例分别为5716%和32480%,比排除干扰前分别下降了2569%和4560%。这说明我国油价冲击带来的经济衰退主要是因为货币政策及其回应油价冲击紧缩所致。此外,面对油价的短期冲击,CPI指数并未随着生产者购进价格指数上升而上升,产出也未发生明显的衰减;但在较长时间内,油价上升会因为相对价格的改变,而影响CPI水平和货币政策,从而对产出产生显著的负面影响。     

Sectoral and Aggregate Technology Shocks:Is There a Relationship?

We analyze sector-specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive model (SVAR) with long-run restrictions developed by Galí (1999) we extract technology and non-technology shocks from sectoral and aggregate data. We study their patterns and relationship by means of a principal components analysis and find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse response analysis indicates that for almost all manufacturing sectors as well as the aggregate Austrian economy productivity growth rates experience an immediate increase due to positive technology shocks while hours worked decline. Thereby we confirm Galís results on the level of Austrian manufacturing industries. From regression analysis, we find that our shocks are closely associated to employment growth and output growth but not to investment growth and that the reaction is different for the aggregate economy and manufacturing industries.JEL codes: D24, E23, E32, O30We thank Werner Müller and the participants of the 2004 conference of the Austrian Economic Association (NOeG) for helpful comments. We would like to thank an anonymous referee for many helpful comments that led to a substantial improvement of the paper. The usual disclaimer applies. This research project was supported by a research Grant (Project Nr. 9800) of the Jubiläumsfonds der Österreichische Nationalbank (OeNB).     

Monetary policy and the transmission of oil shocks

This paper provides evidence on the role played by monetary policy in the transmission of oil shocks to the US economy. We show that for the period since 1986, oil shocks have had a negative effect on stock returns, regardless of whether the oil shock is defined as the percentage change in the price of oil or a nonlinear transformation of that series. We then demonstrate that there is no relationship between the reaction of individual stock prices to oil shocks and to monetary policy shocks. This implies that oil shocks do have effects on the economy beyond their effect on monetary policy. We conclude that systematic monetary policy is not as effective as suggested in some previous studies.     

Oil currencies in the face of oil shocks: what can be learned from time-varying specifications?

While the oil currency property is clearly established from a theoretical viewpoint, its existence is less clear-cut in the empirical literature. We investigate the reasons for this apparent puzzle by studying the time-varying nature of the relationship between real effective exchange rates of five oil exporters and the real price of oil in the aftermath of the oil price shocks of the last two decades. Accordingly, we rely on a time-varying parameter VAR specification, which allows the responses of real exchange rates to different oil price shocks to evolve over time. We find that the reason of the mixed results obtained in the empirical literature is that oil currencies follow different hybrid models in the sense that oil countries’ real exchange rates may be driven by one or several sources of oil price shocks that furthermore can vary over time. In addition to structural changes affecting oil countries, structural changes arising from the oil market itself through the various, time-varying sources of oil price shocks are found to be crucial.     

The identification of fiscal and monetary policy in a structural VAR

Good economic management depends on understanding shocks from monetary policy, fiscal policy and other sources affecting the economy and their subsequent interactions. This paper presents a new methodology to disentangle such shocks in a structural VAR framework. The method combines identification via sign restrictions, cointegration and traditional exclusion restrictions within a system which explicitly models stationary and non-stationary variables and accounts for both permanent and temporary shocks. The usefulness of the approach is demonstrated on a small open economy where policy makers are actively considering the interaction between monetary and fiscal policies.     

FDI、经济增长与环境污染——基于SVAR模型的实证分析

在建设美丽中国深化生态文明体制改革背景下,借助SVAR模型检验了FDI、经济增长与环境污染内在机制。实证表明:我国经济与环境延续了\"先污染后治理\"的国际道路,FDI短期刺激经济增长显著,同时也恶化了环境,长期不是经济增长的动力源泉,但FDI的溢出效应有利于改善环境污染。为了理论与实践上平衡FDI、经济增长与环境保护,提出了调整经济增长极、优化外资质量和结构等政策着力点。     

The effect of output growth volatility on output growth: empirical evidence from Turkey

This article assesses the effect of output growth volatility on output growth within a stochastic-volatility-in-mean model with a time-varying framework for an open small economy: Turkey. Until now, the empirical evidence on industrial production mainly reveals that this relationship is negative. However, in further examining different sectors and sub-sectors of industrial production, we find the sign of the relationship changes depending on the sector. Moreover, there is limited evidence that the sign of the relationship changes over time. Thus, the evidence reveals that the nature of the output growth volatility–output growth relationship is not uniform across sectors.     

我国企业投资对财政货币政策冲击反应的实证分析

本文运用结构向量自回归（SVAR）模型方法研究了我国企业投资对财政货币政策冲击的反应。通过采用1998年1月～2009年4月的月度数据实证研究表明：在经济周期的不同阶段,央行控制货币供给量的能力存在差异,导致货币政策执行效果不同。在经济繁荣阶段,社会资金运用效率较高,不存在剩余流动性,央行可以较容易地通过调整基础货币和货币乘数控制货币供给总量。这时货币供给的外生性较强,货币政策作用效果比较显著;而在经济衰退阶段,可选择的投资机会较少,流动性相对过剩,货币供给内生性增强,这时央行采取扩张性货币政策不能有效提高货币供给量,货币政策作用效果减弱。短期内虽然财政支出对企业投资会产生正向影响,但是负向影响要大于正向影响,也就是说财政政策对企业投资具有明显的挤出效应。