School quality and housing prices: Empirical evidence from a natural experiment in Shanghai,China

The endogeneity of education quality and quantity accounts for difficulties in appropriately identifying the causal relationship between education and housing prices. To determine how education quality is capitalized into housing prices, we deal with endogeneity bias by employing a natural experiment occasioned by China’s education reforms. Based on monthly panel data for 52 residential areas in Shanghai, we conducted a natural experiment based on the exogenous designation of specific high-quality schools as Experimental Model Senior High Schools (EMSHS). Our natural experiment proved useful in analyzing how new information affected housing prices in China’s developing housing market. We found evidence that housing prices included allowances for these new EMSHS designations. In general, the presence of an additional EMSHS (of the best quality) per square kilometer increases housing prices by 17.1%. If one additional, previously non-designated high school is designated as EMSHS in a residential area, housing prices will be 6.9% higher.     

通过供求机制影响房价的因素研究

经济学中,需求和供给的许多影响因素都是密切相关,互相作用的。房地产市场的供给和需求共同决定了房价,这表明了影响需求和供给的因素也都是间接的通过供需影响房价。本文研究了几种主要的通过供求机制影响房价的因素,分析了其影响机制和影响程度。     

基于房屋特征模型的房价影响因素研究

文章基于房屋特征模型,对二手房房价影响因素进行回归分析。研究表明,嘉兴二手房房价主要影响因素为装修程度,随着装修程度每提升一个档次,房屋单价会大幅上升,但与此同时,随着装修程度的提高,房屋单价的上升幅度会逐步减弱,同时,房屋所在层数、室厅总数、房龄、所在地段和是否是学区房也对房屋单价存在一定影响。     

我国城市移民的住房需求分析

农民工是构成城市移民的主要成分,尽管住房并不是移民支出的主要部分,大多数农民工在进城后选择低端房屋,但家庭聚居方式让移民对住房的要求逐步提高。计算发现,我国每年新增约200万-250万城市移民,即使按照廉租住房标准给他们提供住房,每年的需求增量也多达2600万平方米。因此,解决城市移民的住房问题对经济社会协调发展具有重要意义。     

地震加速成都楼市调整

5·12汶川大地震已经过去一个月,在灾区重建工作有条不紊推进的同时,这次地震带来的间接损失也正日益显现出来,其中灾区特别是成都市的房地产市场走势,尤为消费者所关注。     

投资性住房需求对商品房空置率的影响分析

文章通过对比商品房空置率分别在投资性住房需求比例不变、上升与下降时的大小,分析了投资性住房需求对商品房空置率的影响。     

The spillover effects of infill developments on local housing prices

This paper examines the spillover effects of infill developments, which involve developing vacant or under-used parcels within existing urban areas that are largely developed, on local housing prices. Employing a difference-in-difference specification on a sample of 275 new developments and 55,887 sale transactions of houses in Singapore, we find that infill developments have a positive and persistent impact on local housing prices. The contagion effect is larger for infill developments that are built on teardown sites. The spillover effect can also be traced to the overpricing of new homes by developers. Overall, the evidence indicates that developers act as price leaders and contribute significantly to price discovery in the local housing market.     

Time on market and sales price of residential housing: A note

This note extends the study of Kalra and Chan (1994). A simultaneous TOBIT equations model is established to address the simultaneity nature of time on the market (TOM) and sales price (SP) in the presence of censored sample bias. We find that both TOM and SP are positively related to each other.     

Fear of crime and housing prices: Household reactions to sex offender registries

Megan's Law requires public dissemination of information from sex offender registries. Opponents to this controversial law have questioned whether households misinterpret or even use this information. One concern was that the information might simply induce a “fear of crime.” This study finds evidence for both use and misinterpretation of the publicly available information on sex offenders. Using a unique dataset that tracks sex offenders in Hillsborough County, Florida, the results indicate that after a sex offender moves into a neighborhood, nearby housing prices fall by 2.3% ($3500 on average). However, once a sex offender moves out of a neighborhood, housing prices appear to immediately rebound. Surprisingly, these price impacts do not appear to differ in areas near high risk offenders labeled as “predators.”     

Household borrowing and metropolitan housing price dynamics – Empirical evidence from Helsinki

This article argues that, especially in the absence of sufficient direct data on credit constraints, it is reasonable to add a household debt variable in an empirical model studying housing price dynamics. This is because household borrowing is likely to reveal information regarding the credit constraints faced by households. Moreover, debt may also give information on expected income growth and interest rate movements. The aim of this study is to examine empirically if household borrowing data, indeed, is of importance in a dynamic housing price model. In line with the prior expectations, it is found that housing appreciation in the Helsinki Metropolitan area is Granger caused by the household debt-to-GDP ratio both in the short and in the long run. Causality from the housing market to credit, in turn, seems to run only through a cointegrating long-run relation. While the estimated long-run relation between housing prices, income and debt-to-GDP ratio appears to have remained stable through the sample period (1975Q1-2006Q2), the short-run dynamics changed somewhat due to the financial liberalization in the late 1980s. The stability of the long-run relation implies that the loan data are able to cater, at least to a notable extent, for the effect of the changes in Finnish households’ liquidity constraints on housing demand. In line with previous literature, it is also found that housing price adjustment is sluggish and includes notable backward-looking features.     

需求价格弹性和销售收入关系的数学探析

文章认为,许多经济学教材中关于需求价格弹性对销售收入影响的结论存在明显缺陷,通过严格的数学分析,无论如何都不能得出需求价格弹性大于1时,降价会使销售收入增加这样的结论。正确的结论应该是:对同一条需求曲线,对应不同的点有不同的弹性,中点的价格弹性为1,是销售收入最大点,销售收入的变化由销售点在需求曲线上的位置及移动方向共同决定。     

List price and sales prices of residential properties during booms and busts

This paper investigates the relationship between the list and sale price of residential properties over the housing cycle. In down or normal markets the list price generally exceeds the sales price; however, when the housing market is strong, homes sell for more than their list price. This observation is not consistent with the assumptions made in the standard model of home sellers’ search behavior. We consider alternative models. In one, sellers set list prices based on their expectations of future changes in sales prices and the arrival rate of buyers; however, demand shocks occur. This model partially explains our data from the Belfast, U.K. housing market, but it fails to predict the list to sales price ratio during a sustained housing boom. We next describe a model where sellers’ endogenously select their search mechanism depending on the strength of the housing market. We find support for the conjecture that sellers switch to an auction-like model during housing booms. There also is evidence that during a downturn in the market, sellers’ list prices are sticky.     

The reaction of security prices to tracking stock announcements

This paper provides some empirical evidence on a relatively new and increasingly prevalent form of equity restructuring called tracking stock. We identify the effects associated with tracking stock announcements by excluding from our sample those announcement events that include other significant news announcements on the event date, such as announcements of acquisitions and earnings. For the 35 announcement events that fit this criteria, we find a mean abnormal return of over 3 percent in the two-day period surrounding the announced proposal to issue a tracking stock, with 30 of the 35 firms in the sample earning positive abnormal returns. The views expressed in this paper are that of the author(s) and do not reflect the views or opinions of Deutsche Bank Securities Inc. or any of its affiliates.     

Microeconometric evidence on the neoclassical model of demand

The Rotterdam demand model is fit to microeconomic data on households in Belgium. Prices vary over time and across consumers. The symmetry and homogeneity properties associated with demand functions for an individual are not rejected in these data.     

Panel data estimates of the effects of different types of crime on housing prices

One of the most studied effects of crime is the impact that neighborhood crime has on housing values. A major drawback of these studies is that, although crime is undoubtedly endogenous in property value models because of either simultaneity, omitted variables or measurement error, the vast majority of studies treat crime measures as exogenous independent variables. We exploit a unique nine-year crime panel at the neighborhood level to estimate models that properly address the endogeneity of crime and allow us to overcome other specification errors that have plagued previous studies. Of the seven different types of crime we investigate, only robbery and aggravated assault crimes (per acre) exert a meaningful influence upon neighborhood housing values.     

Urban structure,gas prices,and the demand for transportation

This paper investigates how the characteristics of demand for space help determine the response of aggregate automobile mileage to increased gasoline prices. A typical monocentric model is considered in which household heads commute to work at the center of city. Precise results are derived under the assumption that all households have the same income and that transportation is a small item in the typical budget. Finally, a numerical projection is made based on estimates of the relevant parameters.     

Monetary policy and stock prices in small open economies: Empirical evidence for the new EU member states

This study presents evidence on the effect of domestic and Euro Area monetary policy on stock prices in four new EU member states of Central Europe and the main determinants of stock price volatility, estimating structural vector autoregressive models identified with short-run restrictions. We find that stock prices in the considered new EU member states are more sensitive to changes in the Euro Area interest rate than to the domestic one. Moreover, the bulk of stock price volatility in these countries is due to shocks related to exchange rate and Euro Area monetary policy. Overall, we find that local stock markets are more sensitive to external shocks than to domestic ones.