Price Shocks in General Equilibrium: Alternative Specifications

Smets and Wouters (2003) find that at short- and medium-termhorizons stochastic variations in the goods market mark-up arethe most important source of inflation variability in the euroarea. This article shows that an empirically plausible alternativeinterpretation is that the estimated price mark-up shocks representrelative price (e.g. productivity) shocks in a flexible-pricesector. Such an interpretation is consistent with recent microfindings that prices are very flexible in some sectors suchas the food and energy sector, while they are very sticky inother sectors such as services. (JEL codes: E1, E2, E3)     

货币政策是否应关注资产价格——基于货币稳定的视角

货币稳定是一个伴随着货币交易范围扩展而不断拓展的概念,资产交易规模使资产价格波动能严重影响货币稳定和社会福利,因此,货币稳定应当包括资产价格稳定。利用中国1998-2009年月度、季度数据,以及协整检验、误差修正估计和方差分析等方法研究后得出:资产价格与传统通货膨胀指标现值及预期值存在联动性、与经济运行中的货币存量具有显著的数量解释关系,资产价格通过影响消费、投资等经济因素冲击着货币政策效果;货币政策对维护包括资产价格在内的货币稳定并非无能为力,经验表明资产价格往往对货币政策调整做出积极反应。因此,货币稳定指标应根据传统通货膨胀指标和资产价格指标综合计算,即货币政策应根据资产价格传导机制,精确分析资产价格与货币中介目标的关系,准确采取政策工具。     

宏观共同因子、特质因子以及货币政策对中国各线城市房价的影响——基于FAVAR模型

运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。     

应对资产价格波动的货币政策选择与均衡框架构建

资本市场的快速发展,使资产价格波动与货币政策效果之间的关联性不断加大.货币政策是否应当和应该如何对资产价格波动作出反应,多年来吸引了众多学者和货币政策制定者的高度关注.综合已有的理论实践和我国货币政策操作的现实,虽然目前资产价格还不具备作为我国货币政策独立调控目标的条件,但是有必要将其作为货币调控的辅助监测指标纳入中央银行货币政策操作的视野.央行应尽快建立与资产价格监测相关的指标体系,形成考虑资产价格波动因素的货币政策传导机制,构建均衡实体经济与虚拟经济的货币政策操作框架.     

零利率下限、货币政策与金融稳定?

文章通过构建包含零利率下限约束的D SGE 模型,系统探讨了存在零利率下限时外生不利冲击对经济的影响。研究结果表明：(1)当名义利率触及零利率下限时,宏观经济和金融体系的不稳定性和脆弱性会显著增加,外生不利冲击对产出、通胀、信贷等经济变量的影响也会明显放大。(2)当存在零利率下限时,传统泰勒规则已无法有效稳定经济,最优的货币政策规则不仅应盯住产出缺口和通胀缺口,还应对资产价格和信贷给予重点关注并做出适度反应。(3)货币政策更适于保持产出缺口和通胀缺口的稳定,但难以有效减缓房价和信贷的波动。只有将逆周期监管的宏观审慎政策和货币政策有效搭配,才能保证经济系统和金融系统的全面稳定。为了应对不利冲击,我国应进一步完善宏观审慎监管框架,并将其与货币政策有效搭配以保持宏观经济的全面稳定。     

应对资产价格波动的最优货币规则研究——基于福利损失函数的实证分析

通过构建最优货币政策模型对中国货币政策进行的实证检验,发现中国的货币政策主要以盯住通货膨胀为主要目标,同时关注产出的变化,但对股票价格波动的变化并没有给予充分的关注。而通过中国预设货币政策操作框架下对股票价格波动不同反应状况的分析,发现货币政策对资产价格赋予较小权重时,中央银行的福利损失函数将会有所改善;如果继续加大对资产价格干预的权重,则会导致中央银行福利损失函数的迅速恶化。因此可以认为,中央银行还不适宜对资产价格进行过度的关注,只适合在关注通胀和产出的基础上,对资产价格给予适度的关注。     

Empirical research on monetary policy,asset prices and inflation: an analysis based on provincial panel data in China

In this article, we investigate the dynamic correlations among monetary policy, asset prices and inflation and assess the regional effects of monetary policy in China for the period October 2007 to July 2013. We focus on the interdependencies among monetary policy and asset price fluctuations by using the Shanghai Interbank Offered Rate as the preferred variable for analysing monetary policy movement. In particular, we apply a vector autoregressive model in a panel setting, which allows researchers to examine variations over time or across individual regions. The empirical results presented herein indicate that monetary policy reacts actively to asset prices, although it is still shown to be ineffective. In addition, we find that asset prices display some regional differences in their response to an unexpected monetary policy shock.     

货币政策前瞻性指引有助于稳定经济——基于预期视角的数量分析

预期在广义虚拟经济中处于重要地位,是经济活动的主要驱动力之一,而货币政策前瞻性指引即是通过引导公众形成对货币政策的预期以达到维护经济稳定的目的。本文在新凯恩斯动态随机一般均衡模型框架下,运用贝叶斯方法,从预期的角度研究我国货币政策前瞻性指引需针对的主要经济目标及预期冲击影响宏观经济的数量特征。研究发现,货币政策预期冲击的短期效应更强;货币政策预期冲击对通胀的影响显著,其次是对就业的影响,对产出、消费、投资和资本的影响相对较小;通胀与产出、消费、投资和资本同方向波动。实行货币政策前瞻性应主要针对通胀和就业目标,引导公众形成可预期的货币政策环境有助于维护宏观经济的稳定。     

人民币汇率波动与货币政策调控难度

文章采用动态随机一般均衡（DSGE）模型研究了中国货币政策实施时不能忽略的人民币汇率波动特征。文章构建了人民币汇率波动与中国货币政策及其宏观经济系统影响机制的理论模型,并在模型参数校准的基础上进行了政策模拟。研究结果表明,较大的人民币汇率波动会在一定程度上减弱中国货币政策的调控效果,但是对每个变量冲击响应的影响程度有所不同。较大的人民币汇率波动将显著干扰货币政策对宏观经济需求的调控,人民币汇率升值波动幅度较大时,货币政策对需求变量的调控作用会减弱,但不会影响相关需求变量在不同时点的冲击响应走势特征。较大的汇率波动会减弱利率上行对出口的负面影响,有利于缓解货币政策对出口的负面冲击,但会导致贸易条件（出口价格和进口价格的比值）进一步恶化。     

A national or local phenomenon? A comparison of the US and the Chinese housing markets

This article investigates the common movements of house prices across cities as well as the macroeconomic underpinnings of the comovements in the US and China. Our empirical results indicate more differences than similarities between the US and the Chinese housing markets. The results from a Bayesian dynamic latent factor model indicate that the fluctuations of house prices across cities in the US are more a national phenomenon, while the dynamics of house prices across cities in China are mainly driven by the city-specific component. We further use VAR models to compare the roles of the underlying determinants in these two housing markets. The results show that the roles of monetary policy shocks and aggregate fluctuations in driving the common movements of house prices across cities differ substantially between the US and China at both short and long horizons.     

中国资产价格与货币政策关系实证研究综述

国内学者对中国资产价格和货币政策的相关性进行了大量的实证研究,对货币政策的制定具有一定指导意义。这些研究成果在变量计量、研究方法等方面进行了大量探索,为该领域的理论研究做出了积极贡献。但是目前的成果也存在对中国资产结构、资产市场演变等研究背景考虑不足和成熟计量模型缺失等缺陷。     

A research on China’s long-term rice prices (1644–2000)

Drawing on the research achievements on rice prices made in the Qing Dynasty, the Republic of China, and New China, this paper arranges, estimates and observes the statistical data on rice prices in the country over the past three-and-a-half centuries. This paper includes the following four aspects: first of all, it assembles and reorganizes the original data of rice market prices marked in various forms of money in different historical periods since the Qing Dynasty; then it converts the original data of rice prices into the nominal rice price index by making use of the numerical exchange relations between different currencies developed in the past revolution and evolution of monetary systems; and then it converts the nominal rice price into real rice price data in conjunction with the arrangement and estimation results of the general price index; and finally, it makes a brief observation of and comment on some features of long-term changes of real rice prices. __________ Translated from China Economic Quarterly (经济学季刊), 2005, (9) (in Chinese)