Housing investment in urban China

What explains the rapidly increasing housing investment demand in China? To address this question, we develop an analytical framework featuring how expected capital gains impact households' housing investment decisions when subject to financial constraints. Housing demand in China takes place not only through households' owning multiple houses, but also through their owning a larger primary living residence if they are constrained from buying multiple houses. We show that households are more likely to own multiple houses when expecting higher capital gains. As expected capital gain increases, the primary housing demand of those households who are constrained from owning multiple houses increases, while those owing multiple housing units invest in extra ones instead of improving primary housing. Our empirical findings, based on 2010 and 2011 household survey data, are consistent with our theoretical predictions. We also find that the marginal effect of expected capital gains is higher for wealthier households. This links the booming housing market to widening income inequality which is a typical growth pain in a developing country like China. As an extension, we apply the analysis to derive implications of the institutional features (such as purchasing restriction policy and the existence of subsidized housing) for China’s housing markets.     

The Alleged Value Neutrality of Economics: An Alternative View

This paper analyzes bank lending activities for owner-occupied housing loan extensions to minority members of Mississippi’s population. We analyze data on housing loan applications and accessibility patterns among the minority Black population relative to the majority White population groups in the State. The study looks hard at data for evidence of any patterns of discrimination toward minority housing loan applicants. And a Probit model is applied to examine the relative importance of economic variables (such as employment status, income level, and credit rating) versus noneconomic parameters (such as geographical location) in the housing loan decision making of banks toward minority borrowers. The evidence from our comparative data analysis suggests that there is a consistently high denial rates for minorities, which is not explained by financial (economic) factors. The formal test of discrimination with the Probit analysis also indicates some evidence of discrimination from, at least, the standpoint of redlining practices, albeit only with a modest predictive power.     

The external cost of asbestos in the housing market

This study uses a Generalized Method of Moments spatial error hedonic model to estimate the potential impact of asbestos on residential property prices. The analysis examines a large sample of 32,403 housing sales occurring between 2008 and 2015 in a fast-growing Coastal Alabama region. Results indicate the presence of asbestos depreciates house values by 13.44%, translating into an external cost of approximately $25,300 per property.     

Housing Subsidies and Work Incentives in Great Britain

The relationship between housing costs, wages and transfer programmes is complex yet helps determine the incentive to work for individuals in low income or high housing cost households. We estimate a static discrete choice labour supply model that allows for housing benefit programme participation, using samples of married women and unmarried women drawn from Great Britain Family Resources Surveys 1994/5–97/8. We find women are quite responsive to labour supply incentives and that housing benefit income has similar incentive effects to earned income which suggests any 'stigma' is small. Our analysis is complemented by simulating housing benefit and direct rent subsidy reforms.     

Austrian Demography and Housing Demand: Is There a Connection

This paper analyses the role of demographic factors in the Austrian housing market. Linking demographic issues, in conjunction with the Austrian private housing finance, to the housing demand is the focus of the empirical model developed in this paper. We find statistical support that the demographic factors help to explain for housing demand. However, we emphasize that demographic factor such as the adult population with net migration effect is only one of the key variables which contributes in understanding the Austrian housing demand. Some of our other empirical findings indicate that the Austrian housing demand is inelastic to various economic factors is a concern for some housing policies.     

A simple model of a speculative housing market

We develop a simple model of a speculative housing market in which the demand for houses is influenced by expectations about future housing prices. Guided by empirical evidence, agents rely on extrapolative and regressive forecasting rules to form their expectations. The relative importance of these competing views evolves over time, subject to market circumstances. As it turns out, the dynamics of our model is driven by a two-dimensional nonlinear map which may display irregular boom and bust housing price cycles, as repeatedly observed in many actual markets. Complex interactions between real and speculative forces play a key role in such dynamic developments.     

市民收入不均与城市住宅价格空间分布——理论模型与数值模拟

文章通过对市民收入分布特征和市民购房能力与意愿的假设,将市民收入和住宅价格结合起来,从理论上探讨了市民收入不均对城市住宅价格空间分布的影响,并进行了数值模拟。分析表明,商业聚集导致城市从中心到外围房价呈逐渐下降的外在空间规律,是由市民收入差异及其购房竞价这个"内因"实现的。收入不均程度的变化会引起城市不同区位的房价变化,市民总收入一定时,基尼系数增大会导致城市中心房价上升和边缘房价下跌;高基尼系数下出现多次购房的可能较大,这将抬高相关区位的房价。     

Habit formation and housing over the life cycle

We explore the role of habit formation in housing in explaining the life-cycle household allocations. Empirical studies about households in the U.S. reveal that the housing profile increases monotonically until age mid-60s and then flattens out. The model is realistically calibrated and solved numerically under different habit strength parameters. For all values of the parameter, our model produces lower reduction of housing for the elderly compared to the standard model which does not include habit formation. The amount of reduction in housing in the old ages and the level of housing decrease significantly as habit strength increases. The person becomes more attached to his house with a higher habit strength. Considering intolerance towards housing reductions, one consumes a lower amount of housing in the young ages to be able to maintain it in the old ages. These results suggest that in addition to the transaction costs in house trading, habit formation in housing also has a merit in explaining the preservation of housing for elderly people. Our model improves on the literature by investigating the effects of a habit formation behind household allocations and by reducing the role of transaction costs in solving the housing puzzle of the elderly. It contributes to the literature by using a new model with a deep habit preference form and housing. Our model should be preferred to the existing ones since it provides a richer and more real framework for modeling households.     

市场情绪如何影响城市房价

基于行为金融学理论建立了房地产情绪指数影响房价的模型，借鉴Baker and Wurgler（2006）提出的构建资本市场投资者情绪指数的方法，从供需两方选取合适的情绪指标；同时，运用大数据方法，选取百度指数作为情绪指标，运用主成分分析法构建了我国35个大中城市房地产市场的情绪指数，实证研究了市场情绪对房地产价格的影响。另外，还测度不同区域房地产市场情绪指数，通过实证分析横向对比东部和中西部城市市场情绪对房价的影响程度。实证结果表明，市场情绪对房地产价格有着显著的正向影响；市场情绪对房地产价格的正向影响呈现区域异质性，东部地区市场情绪对房地产价格的正向影响强于中西部地区。     

Estimation of hedonic price functions via additive nonparametric regression

We model a hedonic price function for housing as an additive nonparametric regression. Estimation is done via a backfitting procedure in combination with a local polynomial estimator. It avoids the pitfalls of an unrestricted nonparametric estimator, such as slow convergence rates and the curse of dimensionality. Bandwidths are chosen using a novel plug in method that minimizes the asymptotic mean average squared error (AMASE) of the regression. We compare our results to alternative parametric models and find evidence of the superiority of our nonparametric model. From an empirical perspective our study is interesting in that the effects on housing prices of a series of environmental characteristics are modeled in the regression. We find these characteristics to be important in the determination of housing prices.First version received: October 2002/Final version received: October 2003We thank B. Baltagi and two anonymous referees for their comments. The authors retain responsibility for any remaining errors.     

Bubbles and house price dispersion in the United States during 1975–2017

We investigate the rapid growth in the dispersion of housing prices across metropolitan statistical areas (MSAs) in the United States during 1975–2017. We first examine several explanations for this pattern, and find that it is difficult to fully explain it. Our econometric analyses show that the log of price-to-rent ratios follows a random walk process. We then set up a parsimonious asset-pricing island model. We find that the dispersion of fundamental housing prices grow too slow relative to that in data. Incorporating rational bubble solutions, our calibrated model can match the rapid growth in the dispersion of housing prices.     

Bernanke versus Taylor: a post mortem

Our analysis sheds light on the issue of whether the monetary policy contributed to the recent housing boom and bust. We have estimated and analysed a model that allows a comparison between the actual policy and several alternative Taylor rules. When the Taylor rule path was computed using revised data and the deflator for the GDP, we found a notable impact on key housing market variables, supporting Taylor’s critique of the Fed policy. However, the bulk of our evidence suggests that the policy as it would have been conducted under our real-time Taylor rules would not have had any significant impact on the housing market variables. This conclusion is robust with regard to the price index used as well as the relative weights used on the inflation and output gaps.     

School finance reform: Assessing general equilibrium effects

In 1994 the state of Michigan implemented one of the most comprehensive school finance reforms undertaken to date in any of the states. Understanding the effects of the reform is thus of value in informing other potential reform initiatives. In addition, the reform and associated changes in the economic environment provide an opportunity to assess whether a simple general equilibrium model can be of value in framing the study of such reform initiatives. In this paper, we present and use such a model to derive predictions about the effects of the reform on housing prices and neighborhood demographic compositions. Broadly, our analysis implies that the effects of the reform and changes in the economic environment are likely to have been reflected primarily in housing prices and only modestly on neighborhood demographics. We find that evidence for the Detroit metropolitan area from the decade encompassing the reform is largely consistent with the predictions of the model.     

The estimation of a hedonic asking and offer rent equation model: An EM algorithm approach

In this paper we claim that modeling housing markets, specifically the rental housing market, should be based on some sort of disequilibrium framework. We posit a model of asking and offer rents in the spirit of a sample selectivity model. This approach allows us not only to test whether landlords and tenants agree upon the marginal evaluations of unit attributes, but also to estimate the impact on rental demand of tenant specific attributes such as family income and race. Since estimators obtained from this procedure are consistent, but not efficient in this two equation context, we employ an EM algorithm in our estimation in order to obtain MLE equivalent estimators. We have found that our data support the use of this disequilibrium approach in that the coefficient estimates for the asking rent equation, under the assumptions of a sample selectivity model, are not coincident with those obtained from an uncorrected equation.     

A Life Cycle Analysis of Housing Affordability Options for First Home Owner-Occupiers in Australia

This paper presents a life cycle analysis of several policies for improving housing affordability for first home owner-occupiers in Australia: the First Home Owner Grant, housing equity partnerships and deposit loans. The analysis is by simulation of a housing tenure choice model in which a representative adult household makes a lifetime plan concerning the timing of the first home purchase, and the amount of housing and non-housing consumption in each period. An insight from the life cycle framework is that policies to improve housing affordability can have a life cycle timing effect on housing demand and house prices.     

Information and housing search: theory and evidence from China market

Asymmetric market information plays a role in households’ housing choice. To study this role, we theoretically and empirically examine the varied behaviours between better-informed and less-informed households in a housing market. The housing search model theoretically predicts that better-informed households are more likely to secure a better deal. With the data from Tianjin in China, hedonic models are calibrated to quantify the impacts of asymmetric information on housing search outcomes. The results show that the less-informed homebuyers need to pay around 1~2.3% more than those better-informed homebuyers after controlling the heterogeneity of housing units, which are consistent with the theoretical predictions. It suggests that policies and institutions to alleviate asymmetric information in housing market could improve the welfare of households.     

房价对城市全要素生产率的影响机制研究——基于Tobit模型实证分析

基于2008—2016年全国35个大中型城市的面板数据,利用Tobit模型和投入导向型的数据包络分析(DEA)方法探究城市房屋销售价格对城市全要素生产率的影响。研究发现：在整体维度城市房价与城市生产率呈现先增加后减少的倒U型曲线,且城市的房价水平超过了“房住不炒”的最高临界值,房价上升的抑制效应显著。房价对于不同人口规模城市的生产率影响具有异质性,在人口规模达到特大城市时,房价与城市生产率呈现倒U型特征,人口规模达到超大城市后,房价与城市生产率倒U型特征消失。不同类型城市房价与城市生产率之间的倒U型关系和城市的异质性特征表明,我国大中型城市应进行房价的“一城一策”精细化调节,“房住不炒”的政策定位具有坚实理论依据和现实必然。     

Tax treatment of owner occupied housing and wealth inequality

We construct a quantitative general equilibrium lifecycle model with housing tenure decisions to investigate the degree to which wealth inequality in the United States is affected by the preferential tax treatment of home-ownership. Favorable tax treatment of owner occupied housing in the form of home mortgage interest and property tax deductibility, and the untaxed nature of imputed rents, provides a financial incentive for home-ownership over renting as well as an incentive to “over-consume” housing since houses are not fungible. Since the favorable tax treatment of housing disproportionately creates tax savings for the upper quantiles of the income distribution, we quantify how it contributes to the heavily right skewed distribution of wealth in the United States using data from the Survey of Consumer Finances. We consider a revenue-neutral government response to the counter factual experiments of removing the current tax structure on housing. Our quantitative analysis shows that, in terms of distributional effects, removing all of the preferential tax treatments results in an aggregate increase in welfare. However, we do not find any reduction in inequality. We also find that while some re-allocation toward financial assets occurs, households primarily increase their consumption when imputed housing rents are taxed and the property tax deduction is removed. Thus housing tax policy may be effective at encouraging more overall saving through housing assets.     

The multi-market analysis of a housing price transmission model

In this article, we examine dynamic relationships among housing prices from four first-tier cities in China from December 2000 to May 2010 and present an equilibrium model of housing price in multi-markets. By explicitly incorporating and modelling endogenous price series in competing housing markets, our empirical model is able to capture the existence of long-run equilibrium relationships and important short-run dynamics and price structures such as price leadership, price transmission lag and asymmetric price responses. Such multi-market analysis has generalized implications and can easily be applied to analyse the pricing dynamics among other real estate markets in the world. Our major contribution lies in two aspects. First, we employ an Error-Correction Model (ECM) with Directed Acyclic Graphs (DAG) to study the price dynamics in the four largest and key housing markets in China. Second, we uncover a price transmission among these housing markets in China and provide an insightful understanding of price adjustment across markets. The revealed effective price transmission and high correlation among these different markets actually is not a good thing for a stable financial system and for the defence against price bubbles in the housing market.     

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.