房地产价格与通货膨胀、产出的关系——理论分析与基于中国数据的实证检验

本文运用一个简单的数理模型与四象限模型分析了房地产价格影响通货膨胀与产出的机制,结论是:房地产价格通过影响总需求对物价水平产生压力,其中,房价对储蓄的边际影响十分重要。在此基础上,综合运用相关性分析、协整检验、脉冲响应函数与方差分解等方法实证检验我国房地产价格与通货膨胀、产出的关系,其结论是:短期内,房地产价格对通货膨胀与产出的影响十分有限,长期则对通货膨胀与产出产生重要的影响,并且,在房价与通货膨胀、产出之间存在正反馈作用机制。这意味着在一个平稳的宏观经济环境中,这种正反馈机制可能会引发经济过热和房价泡沫。     

Asymmetric Behaviour of Spanish Regional House Prices

In connection with the housing market, which is presently raising a great deal of concern among the general public, this paper investigates regional housing prices in Spain using variable co-integration techniques. It analyzes the asymmetric behavior in real house prices among the Spanish regions focusing on the study of the long-term relationships over time. This paper raises an important question of the national averages masking important regional asymmetries. Results indicate evidence of co-integration, which suggests a broad grouping of regions based on physical proximity or similar economic characteristics.

Are paper winners gamblers? Evidence from Australian retail investors

This study examines stock market gambling using a comprehensive set of investor characteristics and past portfolio performance measures. We find that retail investors overinvest in ‘lottery stocks’, stocks with gambling‐like properties. Significant portfolio underperformance is the result of gambling through lottery stocks. Investors are more likely to gamble following recent portfolio paper gains, regardless of realised performance, providing new evidence that paper gains trigger a house money effect. Investors trading greater values or holding more stocks, and older and female investors, are less likely to invest in lottery stocks.     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

农村宅基地使用权制度面临的问题及对策

我国以"一户一宅"为基本特征的农村宅基地使用权制度,为广大农民不断改善居住条件,维护"住有所居"基本权利提供了保障.但是,在经济社会背景发生了巨大变化的条件下,农村宅基地使用权制度的一些缺陷和不适应性开始更多显现,其中,较突出的是不少地方农村宅基地使用很难确保公平和达到集约节约利用的要求.论文在对部分地方进行的农村宅基地使用权制度改革的实践和探索进行评析的基础上,提出了一些解决当前存在矛盾与问题的建议.     

后现代主义对悲剧精神的解构与重构

后现代主义创作手法一方面对以崇高为核心的悲剧精神不可避免地进行着消解,另一方面对于另一种特属于当代的悲剧精神则又具有重构价值,乃至在对这种当代的悲剧精神的表现中,后现代创作手法具有着必要性,并由此可一窥后现代主义本身的矛盾性。     

“限购令”是抑制房价上涨的有效政策工具吗？

2010年以来我国政府实施的五次房地产宏观调控中,以数量管制性质的“限购令”最为严苛,“限购令”对近年来我国住宅价格快速上涨趋势产生了怎样的效果？本文按照户籍和限购地域两个标准对限购政策了进行细分,在倍差法的研究框架内,通过动态面板模型GMM估计来评估限购政策细则对抑制住宅价格上涨的效果。实证研究发现：(1)对非户籍购房人实施限购的政策效果最为明显;(2)限购范围影响政策效果,仅在市区范围内限购难以起到抑制房价上涨的作用。通过对限购政策效果的评估,本文认为,投资(投机)性需求是推动我国住宅价格上升的重要力量,我国房地产泡沫的根源在于我国粗放的经济增长方式,通过货币超发带动经济增长的发展模式是房地产泡沫的根源所在,也是我国房地产市场调控的难度所在。     

浅谈我国房地产政策——以房价的过快上涨所引发的思考

我国近些年来经济突飞猛进的发展,其背后房地产对CDP的拉动功不可没,特别在金融危机中,大幅拉动内需,成为我国实体经济的支柱产业,但随着需求增大,房价节节攀升,购房困难成为百姓实现小康生活的头号难题。本文就房价过高产生的原因,以及如何看待我国的房地产政策谈了几点看法,并针对高房价提出了几点对策建议。     

What moves housing markets: A variance decomposition of the rent–price ratio

We apply the dynamic Gordon growth model to the housing market in 23 US metropolitan areas, the four Census regions, and the nation from 1975 to 2007. The model allows the rent–price ratio at each date to be split into the expected present discounted values of rent growth, real interest rates, and a housing premium over real rates. We show that housing premia are variable and forecastable and account for a significant fraction of rent–price ratio volatility at the national and local levels, and that covariances among the three components damp fluctuations in rent–price ratios. Thus, explanations of house-price dynamics that focus only on interest rate movements and ignore these covariances can be misleading. These results are similar to those found for stocks and bonds.     

Measuring a boom and bust: The Sydney housing market 2001–2006

The Sydney housing market peaked in 2003. The period 2001–2006 is, therefore, of particular interest since it captures a boom and bust in the housing market. We compute hedonic, repeat-sales and median price indexes for five regions in Sydney over this period. While the three approaches are in broad agreement regarding the timing of the turning point in the housing market, some important differences also emerge. In particular, we find evidence of sample selection bias in our hedonic and repeat-sales data sets (with the former focusing more on better quality dwellings and the latter more on lower quality dwellings). These sample selection biases could in turn cause bias (in opposite directions) in our hedonic and repeat-sales indexes. Median indexes may likewise be biased as a result of an apparent decline in the average quality of dwellings sold in the latter part of the sample. We also find evidence of convergence in prices across regions during the boom and divergence in the subsequent bust.