Bayesian analysis of Hong Kong's housing price dynamics

This paper uses a Bayesian vector‐autoregressive model with sign restrictions to estimate the underlying drivers of Hong Kong's housing price dynamics in the short run. While existing studies are useful in analysing housing valuation, little attention has been paid to the short‐run dynamics. In contrast, the present paper identifies short‐run drivers of housing prices using structural identification with theoretical underpinnings. We find that among the shocks that we have identified, bank lending shock and housing supply shock were the main factors affecting Hong Kong's housing prices. Low mortgage rates were another key factor that led to the significant increase in housing prices after the global financial crisis.     

Housing price,talent movement,and innovation output: Evidence from Chinese cities

How housing costs would influence the job‐housing choice of talent and associated city‐level innovation performance is a question of interest for urban development policies. Recently, considerable attention has been paid to the influence of rising housing prices on the attraction of talent and the associated innovation output in major Chinese cities. In this paper, we use the housing price data of 51 cities from the China Real Estate Index System database and the corresponding macro data of China City Statistical Yearbooks from 2005 to 2014 to analyze this focal research question. The empirical analysis shows that the increase in city housing prices generally correlates positively with city innovation outcome and talent attraction, suggesting no crowding‐out effect on the innovative performance of the city. However, the positive association between housing prices and innovation outcome and talent attraction has started to disappear in first‐tier cities in recent years, suggesting potential crowding‐out effect if the increasing housing prices transform to bubbles. This research thus provides considerable policy implications concerning the impacts of housing prices on talent movement and innovation output.     

A DYNAMIC MODEL OF HOUSING DEMAND: ESTIMATION AND POLICY IMPLICATIONS*

Using data from the PSID, we estimate a dynamic model of housing demand with nonconvex adjustment costs, credit constraints, and uncertainty about income and home prices. We simulate how consumer behavior responds to house price and income declines as well as tightening credit. In response to a negative home price shock, households early in the life cycle climb the housing ladder more quickly and invest more in housing assets due to the lower price. With a concurrent negative income shock, however, housing demand falls among young and middle aged households who stay in smaller homes rather than to trade up.     

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.     

An analysis of the demand for housing attributes

This paper uses a two-step approach to estimate a system of structural demand equations for housing attributes. Estimation of a hedonic price regression, in the first step, yields implicit prices for housing attributes for the Toronto Metropolitan area in 1978, which are then used to estimate the expenditure share equations derived from the indirect translog utility function. Empirical results indicate that the composite housing attributes (used in the second stage model) are own-price elastic, while an examination of cross price relationships reveals that these attributes are reasonably substitutable.     

MEASURES OF INTERNATIONAL RELATIVE PRICES FOR CHINA AND THE USA

Abstract.  In this paper we assemble a measure of international relative prices to gauge the average amount by which prices in China and the USA differ from the prices of their trading partners. Our estimated weighted average of relative prices for China and the USA are the first to use the significantly revised purchasing power parities embodied in the price data from the World Bank's World Development Indicators. Our analysis reveals several findings of interest. First, interactions between the structure of trade and the levels of relative prices are sufficiently important to induce divergences between the weighted average of relative prices and conventional real effective exchange-rate indexes. Second, revisions embodied in World Development Indicators price data generally lower the estimate of US international relative prices. Third, net exports are inversely related to the estimate of US international relative price, but, for China, the correlation is positive. Estimating this correlation for other countries reveals no systematic pattern related to the level of development alone. Fourth, unlike previous work, using our price measures we find that an increase in US prices relative to Chinese prices raises the share of China's exports to the USA. Finally, there is a distinct possibility of eliminating the long-standing differential in income elasticities of US trade in empirical applications.     

Estimating fundamental and affordable housing price trends: a study based on Singapore

Policy-makers often impose some cooling measures on the housing market when housing prices rise fast. Such policies yield limited success if housing prices are driven up by fundamentals. Estimating a fundamental price trend from observed price data is a challenge. We present an empirical methodology to separate housing price trends into fundamental and affordable components. Deviating from the common practice, we replace current income by a long-run income measure constructed from household incomes at different quantiles. This income measure provides a more suitable basis for constructing affordable house price levels. It also serves as a better fundamental variable, especially for segmented housing markets like that of Singapore. These price trends provide policy-makers with useful information to intervene into property markets to achieve desirable outcomes. Analysing Singapore data using this methodology shows the magnitudes of the price gaps between actual and fundamental prices and how housing affordability fluctuates over price cycles.     

Impact Fees and Real Estate Prices: Evidence from 35 Chinese Cities

Local governments often charge developers impact fees to finance local public goods. This has been practiced in Chinese cities for more than two decades; however, no empirical studies have tested the effect of impact fees on real estate prices. Using a panel data set for 35 large- and medium-sized cities from 1998 to 2008, we find that impact fees lead to a significant increase in real estate prices. For a given city, an increase in impact fees by one yuan leads to an increase of about 5 yuan in the price of newly-built housing; a 1% increase in impact fees leads to an increase of 5 percentage points in the housing price index and 7 percentage points in the land price index.     

Price mimicking under cost-of-service regulation: the Swedish water sector

This study provides an empirical test of price mimicking among publicly owned water utilities. Using a fixed effects spatial Durbin model with data from Swedish municipalities during 2002–2012, I estimate the elasticity of the own relative to neighbors’ average price to 0.14. This behavior can be explained in terms of an informal yardstick competition: when consumers use neighboring municipalities’ prices as benchmarks for costs or as behaviorally based reference prices, policy makers will face the risk of consumer complaints and reduced voter support if deviating too much from neighboring municipalities’ prices. Further, I find some evidence that price mimicking is more pronounced in municipalities where voter support for the ruling coalition is weak.     

有限理性、异质预期与房价内生演化机制

本文通过将传统蛛网模型推广为双边异质预期蛛网模型,分析了房价的内生演化机制,通过数值分析考察了市场参与者心理预期对房价的影响。结论表明,市场中基本面分析者的预期不影响房价动态系统的稳定性,技术分析者与开发商的预期则导致房价波动,进而影响房价动态系统的稳定性。模型还给出了房地产开发成本对房价动态演化的影响。开发成本不仅对基本面价格有正向冲击,而且当成本增加到一定临界值后也将导致房价演化出现分岔。     

The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity

Previous studies have discovered the defensive characteristics of housing prices, which is also known as downward price rigidity. This paper discusses whether this feature would result in an asymmetric relationship between housing prices and monetary policy. This paper first uses the loss aversion behavior of traders to assess the viability of housing price rigidity in the housing market and to deduce further that if downward housing price rigidity actually existed, then the impact of monetary policy on housing prices should be asymmetric. For empirical tests, this paper uses data from the UK housing market and then uses the money supply as the proxy variable of monetary policy. The relationships between these two variables are observed. This paper performs estimation using both traditional and threshold error correction models by comparing the coefficients of both models. The results indicate that housing price is indeed asymmetrically adjusted to money supply. When housing prices increase to reflect a loose monetary policy, a modification behavior is evident. Conversely, housing prices cannot easily reflect a tight monetary policy. This result indicates that housing prices tend to overreact in upturn and underreact in downturn. The results imply that when implementing relevant policies for the housing market, the government should consider the asymmetry of housing price changes. Otherwise, the situation can easily result in the creation of a bubble or the collapse of the housing market because of incorrect policies.     

Price discrimination via information provision

We study price discrimination where different prices are offered as a bundle with different levels of information about a product. The seller’s price discrimination induces high valuation buyers to purchase a good without information and low valuation buyers to purchase with information. Our analysis highlights several interesting results about price discrimination: (i) the seller’s choice of information provision is the combination of full information and no information, (ii) products can be cheaper without information provision than with information provision, (iii) as a result of price discrimination, prices can be more dispersed as buyers’ valuations become largely similar, and (iv) the high valuation buyers purchase a damaged good and may earn negative surplus. Furthermore, we investigate under which circumstances price discrimination is more profitable than uniform pricing. We show that a decline in transportation costs which facilitate price discrimination can be welfare reducing.     

Expectation,volatility and liquidity in the housing market

Measuring housing price volatility is fundamental to understanding the dynamics of housing price risk. This article aims to explore whether a liquidity factor plays a role in explaining the second moment (i.e. the volatility) of housing prices. Housing price volatility is measured as the conditional variance of a Generalized Auto Regressive Conditional Heteroscedasticity (GARCH) model under the Adaptive Expectations framework. The empirical evidence reveals that volatility transmits from smaller housing units to larger housing units, which indirectly supports the trade-up effect discussed in the literature. In addition, less liquid housing classes are more sensitive to unexpected liquidity shocks, and the starter housing class is extraordinarily sensitive to negative liquidity shocks. Consistent with friction search theory, pricing errors are alleviated as the trading volume increases, because the valuation price tends to be more accurate as more information is available.     

Estimating Housing Prices: A Proposal with Spatially Correlated Data

The price of housing per square meter and the trend observed over the last few years is one of the issues that most concerns Spanish citizens and subsequently their political and economic representatives. However, in spite of the importance of space in the real estate market, official averages do not take into account the spatial correlation of housing prices. In order to solve this handicap, we propose the kriging the mean method to estimate mean housing prices. This method provides the best unbiased linear estimation taking into account spatially correlated data.     

Hazardous Waste Hits Hollywood: Superfund and Housing Prices in Los Angeles

This paper contributes to the ongoing debate concerning the effect of various actions taken by the U.S. Environmental Protection Agency under CERCLA, commonly known as the Superfund Program, on housing prices. This study uses a housing transaction panel dataset encompassing the five major counties of the Los Angeles Combined Statistical Area to estimate the program’s influence on the local housing market. Using house and time-varying census tract fixed effects, I am able to avoid many of the endogeneity problems seen in previous research attempting to measure the Superfund treatment effect. An estimate of the effect on housing prices is given for each of the major events that occur under a typical Superfund remediation. After controlling for confounding correlated unobservables, I find a 7.3 % increase in sales price for houses within 3 km of a site that moves through the complete Superfund program. The analysis gives evidence of positive price appreciation for housing markets and serves as a lower bound for measuring remediation benefits.     

Ripple effect in house prices and trading volume in the UK housing market: New viewpoint and evidence

This study adopts the data of house prices and trading volume in the overall UK housing market and in the housing markets in the 10 major regions in the UK to estimate the ripple effect in the trading activities in the housing markets. First, this study details why the ripple effect occurs in the housing market price and volume using static and cobweb dynamic models. The results of the panel-based unit root tests indicate that the relative price and volume ratios show constancy, signifying that long-run equilibrium relationships exist between the regional and national housing markets in the UK. The frequency of the transaction volume convergence behavior is higher than that of the overall house prices.     

Residential property price differentials of waste plants: evidence from Beijing,China

As a primary source of urban pollution, waste plants release toxic gases and polluted waste water that can cause great harm to human health and contaminate water resources. The adverse impact of waste plants on environmental threaten the quality of life of surrounding residents which will be reflected in residential property values. In this study, we develop a hedonic price model to estimate the environmental externalities of waste plants based on a panel dataset for real-estate transactions in Beijing from 2011 to 2015. We apply fixed effects and a Heckman selection model to control for omitted variable bias and sample selection bias and then construct price counterfactuals for properties. The price differentials between expected and counterfactual prices are then calculated. Our empirical results suggest that waste plants negatively influence residential property prices. Additionally, the influences of other factors, such as school district, traffic convenience, and average housing area, on property prices are consistent with common sense, though they are weakened for properties within three kilometers of waste plants.     

Housing Prices in Urban China as Determined by Demand and Supply

This paper studies the demand for and supply of residential housing in urban China since the late 1980s when the urban housing market became commercialized. Using aggregated annual data from 1987 to 2012 in a simultaneous equations framework we show that the rapid increase in the urban residential housing price can be well explained by the forces of demand and supply, with income determining demand and cost of construction affecting supply. We find the income elasticity of demand for urban housing to be approximately 1, the price elasticity of demand to be approximately ?1.1 and the price elasticity of supply of the total housing stock to be approximately 0.5. The resulting long‐run effect of income on urban housing prices in elasticity terms is approximately 0.7, because the increase in income has shifted the demand curve outward more rapidly than the supply curve.     

高房价与城镇居民创业*——基于CHIP微观数据的实证分析

以往有关高房价与创业的研究存在一定争议,本文基于2002年和2008年中国家庭收入调查（CHIP）分析了高房价对城镇居民创业行为的影响。实证结果表明,在其他条件不变的情况下,高房价能够提高中国城镇居民的创业概率,负担房贷会降低城镇居民创业的可能性,高房价刺激的多为自雇型创业,对老板型创业的促进作用不明显。由于促进的大多是自雇型创业,所以不能高估高房价对创业活动的激励作用,在未来鼓励大众创业的过程中应该着重考虑其他制度性因素。       

基于特征价格与SVM的二手房价格评估

二手房价格的准确衡量一直是个永恒的话题。为了避免传统评估方法的不足,更加合理地预测二手房价格,引入特征价格理论和支持向量机理论(SVM),以杭州市西湖区内的二手房价格数据,构建价格评估模型,实证研究表明具有良好的评估效果。