利率对房地产价格影响分析

首先对中国利率政策对房地产价格的影响历程进行了分析,总结出利率政策对房地产价格的影响不显著,在此基础上,剖析了造成这种状况的原因并提出了相应的政策建议,以期对政府部门的宏观决策提供参考。     

房地产价格、泰勒规则与宏观经济调控——基于2000-2010年我国宏观经济数据的检验

央行是否应该针对房地产价格制定货币政策进行调控,一直是学者们关注的焦点,但研究结果仍存在分歧。基于2000-2010年我国季度经济数据,对比检验了融入房地产价格的泰勒规则与标准泰勒规则对我国制定货币政策调控宏观经济的适用性。实证结果表明,依据标准泰勒规则所制定的利率政策,可以降低央行损失函数值,提高利率政策有效性。这一结果意味着,在房地产价格波动不影响物价稳定和经济增长的情况下,央行不应针对房地产价格进行调控。也就是说,央行需考虑房地产价格波动与通货膨胀和产出之间的相关关系,判断其对政策目标的潜在影响,制定利率政策对宏观经济进行调控。     

收入差距与中国房地产价格:理论与实证——兼论当前房地产调控的有效性

本文从房地产同时具有消费属性和资产属性出发,通过构建一个理论模型,分析收入差距对房地产价格的影响机制,理论模型认为收入差距对房地产价格具有正向影响,经济的基本面和房地产的基本面对房价的上涨不具有完全的解释力。在理论模型的基础上,利用中国的数据实证分析收入差距对中国房地产价格的影响,实证结果表明收入差距对房地产价格具有显著的正向影响,说明中国当前较大的收入差距是房地产价格上升的重要影响因素。     

房产税改革与外部环境——基于不同利率政策反应函数情境的模拟分析

房产税改革作为中国财税体制改革的重要组成部分,对中国未来房地产市场发展以及地方经济发展都具有重要影响。鉴于中国经济步入新常态发展阶段,如何减轻改革对经济波动的影响成为进一步深化改革的关键。本文从利率政策视角出发,通过数值模拟的方法,分析在不同利率政策反应函数情境下,房产税改革对经济波动的影响,进而寻找与改革相匹配的利率政策反应函数,为改革营造有利的外部环境。研究表明:当利率政策反应函数考虑房价波动时,从静态视角来看,房产税改革对社会福利损失的负面影响更小;同时,从动态视角来看,房产税改革对经济波动的负面影响也会缩小。     

中国房地产价格失控的原因与对策研究

作为国家的支柱产业,房地产的稳定发展关乎国计民生.然而,我国房地产现在存在诸多问题,其中又以房地产价格持续走高,被人们所看重.因此,探讨我国房地产价格现状的根源,找到影响房地产价格的有效因素,进而分析利用什么样的政策能更有效的调整房地产价格,具有重要的理论意义和实际应用价值.基于这样的考虑,本文讨论了影响房地产价格的主要原因,并在此基础总结了控制房地产价格的对策.     

中国房地产价格失控的原因与对策研究

作为国家的支柱产业，房地产的稳定发展关乎国计民生。然而，我国房地产现在存在诸多问题，其中又以房地产价格持续走高，被人们所看重。因此，探讨我国房地产价格现状的根源，找到影响房地产价格的有效因素，进而分析利用什么样的政策能更有效的调整房地产价格，具有重要的理论意义和实际应用价值。基于这样的考虑，本文讨论了影响房地产价格的主要原因，并在此基础总结了控制房地产价格的对策。     

中国房地产价格波动的动态分析

本文采用VAR模型对中国房地产市场1991年1月到2007年12月的月度数据进行分析。结果发现房地产需求、中长期贷款额增加以及证券市场的上扬会促使房地产价格上升,而房地产供给和实际利率的增加会降低房价。VEC模型则表明房地产前期价格、房地产供给、中长期贷款额和实际利率是房价短期波动的主要因素。因此增加房地产供给、严格审核中长期贷款可有效减少房价波动并降低房价。     

中国货币政策规则与宏观经济稳定——理论分析与经验考察

本文根据估计的中国人民银行利率政策规则,在具有粘性价格和垄断竞争的货币经济周期模型的分析框架上,考察了中国宏观经济的稳定性。由于中国利率政策规则不是积极的反通货膨胀规则,利率仅根据通货膨胀采取包容性的调整,因此,经济不存在惟一的稳定均衡,即经济不会向某一特定的稳态收敛,并且中国经济有可能存在多重均衡和内生波动。所以,在目前的利率政策规则下,中国经济可以长期处于通货膨胀或通货紧缩状态。本文最后的经验考察表明,以上结论与中国宏观经济波动所表现的特点是一致的。     

房地产价格影响因素的实证研究——基于我国各省的面板数据分析

应用1997—2009年全国29个省市的面板数据,分析了影响中国房地产价格的各种因素。在影响房地产价格的众多因素中,主要选取了需求方、供给方以及金融变量进行理论分析,并结合中国房地产市场的实际提出相应假说。实证结果显示,房价推动力的主要来源是需求方,且银行信贷对房价的影响也不可忽视;而供给方的相关变量对房地产价格的影响较小,其中,房地产投资额对房价不具有显著影响,竣工面积对房价的影响较小。依据实证结论,提供了一些对房地产市场调控的政策建议。     

中国利率政策对物价的时滞效应实证研究

利率政策对一国的物价水平有很大的影响作用,但这种影响具有滞后性.本文分析了中国利率政策对物价水平的时滞性,同时提出了相应的对策建设.     

Housing,consumption and monetary policy: how different are the first-, second- and third-tier cities in China?

This article presents an empirical analysis of the relationship between house prices and the real economy in China’s first-, second- and third-tier cities. A Structural Vector Autoregression model is applied to study the impacts of monetary policy shocks and housing demand shocks on various housing markets across China. We also investigate the role of house prices in the transmission mechanism of monetary policy. The results reveal that in first-tier cities, raising interest rates has a stronger negative effect on house prices. Also, as house prices decrease in first-tier cities, private consumption declines sharply. There is a stronger role of housing markets in the transmission of monetary policy shocks in these cities. Our findings indicate that interest rate adjustment could effectively curb spikes in housing prices in the first-tier cities, but the impact of such adjustments on household consumption must also be considered.     

房价波动、调控政策立场估计及其影响效应研究--基于1998-2014年数据的实证分析

调控政策对房价的反应、立场和影响效应是政府政策设计的重要依据,2007年底金融危机爆发后,调控政策和房价波动都发生了显著变化。文章以2008年为界,构建了三个房价和政策变量的月度时间序列样本：1998-2007年、2008-2014年和1998-2014年,在此基础上,对2008年前后调控政策的反应、立场和影响效应进行了实证分析。结果表明：(1)实际贷款利率和货币供应量在2008年前后对目标变量的反应是交错变化的,货币供应量对房价的反应与假定相反,货币政策并未对房价做出充分反应,而财政和土地政策表现出了较好的反应结果。(2)货币供应量对房价波动的影响最大,是房价持续上涨的重要原因,2008年以来,固定资产投资的影响非常显著,脉冲响应分析发现利率只能在短期内对房价产生负向影响,除土地政策外,货币和财政政策皆会在长期内对房价产生稳定影响。文章的研究为推进房价政策调控和房地产市场健康稳定发展提供了可靠的经验支持。     

The Real Story of Housing Prices in Australia from 1970 to 2003

Despite the popular and public policy interest in housing prices, there have been few reliable published data for housing prices in Australia. In this article we aim to provide an authoritative account of prices for houses and apartments (units) in Australia from 1970 to 2003. Where possible we draw on data from land title offices or on studies that draw on these data, but we also draw on supplementary data in some cases. The first part of the article describes the major data sources of Australian house prices. The main body of the article provides our best estimates of median house and unit prices and real price indices in the capital cities and in the rest of Australia along with explanations for their derivations. We also estimate how improvements in housing quality have influenced real house prices.     

Predicting housing prices according to expected future interest rate

In this article, I present a theoretical model for predicting future housing prices as a function of the expected future interest rate, housing depreciation and rent rate. Focusing on the notion of arbitrage, where the returns on investing in housing is equal to the return on bonds, I forecast housing prices in the US as a function of the expected future interest rate on corporate bonds graded at categories AAA or AA. I get that a change in the expected future bond yield will lead to a change in future housing prices.     

利率效果区域异质性、收入跨区 影响与房价溢出效应*

本文首先构建了理论分析框架,解释了中国不同城市间房价溢出效应、收入对房价的跨区影响,以及利率调整对不同城市房价的区域异质性影响。本文利用GVAR模型对该框架进行了实证,结果显示北京等一线城市的房价波动对其他城市具有较大的溢出性,而中西部城市的房价溢出性则不明显。一线城市和东部城市的房价波动不仅受本城市人均收入变动的影响,还在很大程度上受其他城市收入变动的影响,而中西部城市的房价则主要受本城市收入变动的影响。利率变动对一线城市和东部城市的房价影响则较大,而对中西部城市的房价影响有限。本文结论具有明确的政策含义,比如政府应通过稳定一线城市房价以达到稳定全国房价的目的,促进公共产品均等化,实行地区差异化的房地产政策等。通过利率调整来调控房价也是一个可行的政策选项。     

THE ROLE OF HOUSE PRICES IN THE MONETARY TRANSMISSION MECHANISM ACROSS EUROPEAN COUNTRIES

This paper provides a discussion of the ‘housing market’ channels of the monetary transmission mechanism and offers some evidence of institutional differences in the European housing and mortgage markets. Using a number of Vector Autoregressive models, estimated individually for nine European countries over the pre‐EMU period, we find that house prices are significantly affected by interest rate shocks. The relative role of these interest‐rate‐induced fluctuations in house prices for private consumption is then investigated. We show that house prices may enhance the effects of interest rate shocks on consumer spending in those economies where housing and mortgage markets are relatively more developed and competitive.     

Testing for rational bubbles in the US housing market

The presence of a bubble in the US housing market prior to the 2007 subprime mortgage financial crisis is investigated. This is done by looking into the relationship between house prices and rental prices, known as the price–rent ratio, which is an important measure of a potential deviation between house prices and its fundamental value. Additionally, the interest rate is taken into account since it is an important factor in determining demand for housing mortgages and thereby influencing house prices, and explosive behavior of house prices is considered. These relationships are investigated through a theoretical and econometrical framework. The empirical evidence suggests that there was a bubble in the housing market prior to the financial crisis, even when controlling for the decreasing interest rate and the fundamental information given by the rental price in the period. Explosiveness was the main source of the price increase, such that a bubble was present in the housing market after correcting for other fundamental factors. The econometric procedures used in the analysis may therefore be relevant for monitoring the housing market.     

The impact of income,economic openness and interest rates on housing prices in China: evidence from dynamic panel quantile regression

The rapid growth of housing prices has attracted the attention of the whole of society in China. This article adopts the dynamic panel quantile regression to investigate the impact of income, economic openness and interest rates on housing prices in China, based on the panel data of 35 major cities from 2002 to 2012. Compared with previous studies, we can more precisely and reasonably discuss the impact of these variables on different levels of housing prices. The empirical results indicate that the impact of independent variables on housing prices is heterogeneous across quantiles. Specifically, the impact of income is positive and significant across quantiles, and the impact becomes greater at the 90th and 95th quantiles. Economic openness has a positive and significant effect at the 5th–80th quantiles, which support the Balassa–Samuelson effect, but it is insignificant at the 90th and 95th quantiles. The impact of interest rates is positive and significant at low quantiles, but the impact is negative and insignificant at high quantiles. Furthermore, we also find that the coefficients of interest rates at various quantiles are smaller. In addition, the population has a significant positive effect across quantiles. Finally, we provide important policy implications.     

Housing prices and population dynamics in urban China

In this study, a dynamic stochastic general equilibrium (DSGE) model is used to investigate the influence of population on housing price dynamics in urban China. The contribution of population growth to the housing price trend and the contribution of population shocks to housing price fluctuations are quantitatively measured. The empirical results indicate that the ongoing policy to control the population size in large cities in China can decrease the growth rate of housing prices by 0.49% every year, which accounts for 1/10 of the total housing price trend. Furthermore, this policy cannot stabilize housing prices because population shocks have negligible effects on the housing price cycle. Housing technology shocks and housing preference shocks are responsible for most of the housing price fluctuations.