Labor-Leisure Choice and Relative Income Concerns in the Shadow of the Housing Market

We theoretically examine the connection among labor productivity, work time, and housing costs in an economy with households differing in wages and neighborhoods differing in quality. We argue that the location rent component of housing cost is key to explicating the connection. We trace how the housing market makes relative income instrumental for maximizing utility even if households’ utility functions are not interdependent. Over time, productivity growth yields higher wages but households compete some of that away on the housing market. This structural inflation of location rents counteracts preferences to work less as wages rise and hinders the expansion of leisure. Relative income effects are shown to arise as a consequence of a market institution that monetizes socially-imbued preferences.     

Information Shocks and the Dynamics of the Housing Market*

In this paper, we analyze housing‐market reactions to the release of previously unpublished information on school quality. Using high‐quality housing data, which precisely bracket the timing of the information shock, we investigate housing‐price dynamics within school‐catchment areas. We find a robust short‐term housing‐market reaction to the publication of school‐quality indicators, suggesting that this information was new to the households, and that households are willing to pay for better schools. The publication effect does not seem to be permanent as prices revert to pre‐publication levels after two to three months.     

How Property Markets Determine Welfare Outcomes: An Equilibrium Sorting Model Analysis of Local Environmental Interventions

This paper examines the pivotal role played by property markets in determining the magnitude and distribution of welfare changes resulting from localised environmental change. We address that issue using an equilibrium sorting model (ESM) calibrated, by way of example, to the circumstances of a road infrastructure project in the English town of Polegate. Previous ESM research has tended to assume that all households rent property from a fixed property stock. The narrative that arises from those models concerns environmental gentrification, wherein access to environmentally improved locations is appropriated by the relatively wealthy through their ability to out-compete the less wealthy in the rental property market. Our research shows that to be only part of a much more complex story. We develop a model that extends the sophistication with which ESMs replicate property market dynamics, allowing for households to choose whether to rent or purchase their home and introducing greater realism into housing supply responses to changing market conditions. Our research shows that property markets redistribute welfare gains across the population in complex ways in which tenure choice and housing supply constraints play central roles.     

Housing Allowance and the Rent of Low‐income Households

This paper analyses the effect of a housing allowance programme on the rent paid by assisted low‐income households. The data consist of 12,000 rental households in the free‐market and municipal sectors. The effect is estimated using the programme reform of 2002 as an instrument. The reform increased the allowance of the assisted households depending on housing characteristics, but it had little effect on the eligibility. Results suggest that in the private sector, one additional euro of allowance increases the rent of claimants by 60–70 cents. The effect is zero in the municipal sector, as rents are tied to the housing costs.     

Financial market frictions in a model of the Euro area

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the “financial accelerator” literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasises financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition.     

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.     

COMMITMENT AND COSTLY SIGNALING IN DECENTRALIZED MARKETS

I propose a search model of a decentralized market with asymmetric information in which sellers are unable to commit to asking prices announced ex ante. Relaxing the commitment assumption prevents sellers from using price posting as a signaling device to direct buyers' search. Private information about the gains from trade and inefficient entry on the demand side then contribute to market illiquidity. Endogenous sorting among costly marketing platforms can facilitate the search process by segmenting the market to alleviate information frictions. Seemingly irrelevant but incentive compatible listing fees are implementable provided that the market is not already sufficiently active.     

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.     

住房需求动态模型的演进

在家庭生命周期内,最优住房消费并不是一成不变的。为了最大化整个生命周期的效用,家庭通常需要权衡迁居的交易成本和不迁居的效用损失。本文介绍研究住房需求的动态模型,给出家庭住房消费决策的理论解释。     

Costs and benefits of housing subsidies to tenants from voluntary and involuntary rent control: a comparison between tenures and income groups

This paper estimates the economic subsides to housing for different groups using the 1988 Joseph Rowntree Memorial Trust sample survey of households.An Olsen type model is used to estimate consumber surplus to households from subsidized housing.These estimates are compared to costs, and housing services in the owner occupier market. Poorer families receive larger benefits than richer families. Transfer efficiency is not high; but the local authority sector receives the greatest benefits from controlled rents.     

Internet searches and transactions on the Dutch housing market

We use Google searches of the word ‘mortgage’ to explain monthly housing transactions in the Netherlands in the period from 2004 until 2015. Our estimates indicate that Google searches of the previous months are significantly positively associated with housing transactions in the current month. This shows evidence that Internet search data can provide information about real market behaviour.     

Housing demand in Russia: Rationing and reform1

In a number of articles Alexeev (1988a) and (1988b) shows that in the former Soviet Union the administrative rationing of housing was partially replaced by market forces acting through the second economy. This paper uses a much richer dataset to update his analysis for Russia to consider housing demand in 1992, the last year of the administrative allocation system. Almost immediately after the survey used for this analysis Russia began to privatize the housing stock as part of its movement towards a market economy. The questions we ask are: Were households really able to beat the system, as argued by Alexeev and, if so, were they still able to do so in 1992? Our answer to the second question is that in 1992 households were not able to beat the system. Income had no observable effect on housing demand. Furthermore, we do not think that the difference in our empirical results and Alexeev's is due only to the broader economic changes that occurred since his estimation or the richer dataset available to us. Indeed, our answer to the first question is that there are good reasons for arguing that Alexeev's estimates of the income elasticity of housing demand are biased upwards.     

城市居民住房承受能力测度研究——剩余收入视角

借鉴扩展线性支出系统模型确定家庭食品、衣着、家庭设备用品及服务等非住房基本消费支出的基础上,运用剩余收入法测度了2003—2008年武汉市七种不同类型家庭的住房承受能力。剩余收入法测度结果能反映出不同类型家庭住房承受能力的具体差距,显示出武汉市中等偏下收入及以下收入家庭面临住房承受能力问题,并且收入越低住房承受能力问题越突出,结果比传统比率法更具有说服力。而比率法测度显示中等偏上户及以下家庭面临住房承受能力问题,扩大了存在住房承受能力问题的家庭范围。运用剩余收入法可以定量地测度各类家庭住房承受能力的大小和绝对差距,有助于确定城市中低收入家庭住房补贴的对象及标准,制定我国公共住房销售、租赁政府指导价格,促进完善住房保障政策。     

住房公积金导致了不平等吗*——来自中国家庭金融调查的证据

住房公积金制度作为一项政策性住房金融制度，能够缓解家庭购房金融约束、稳定住房金融市场，成为实现“房住不炒”的重要政策工具。本文以2015年实施的住房公积金信贷宽松政策作为外生冲击，从财富效应的角度研究了住房公积金制度对不同家庭购房行为的影响。利用双重差分的实证研究方法，本文发现目前住房公积金主要促进了缴存家庭的多套房需求，加大了缴存家庭与非缴存家庭的住房财富差距。住房信贷政策的针对性与多样性急需提升。     

城市居民居住区位选择微观机制的实证研究——以万科青青家园为例

随着我国城市住房分配制度的变革,居民由被动的接受住房转变为根据自己的偏好进行主动的选择,消费者在住房市场的主体地位得以确立。文章以“万科青青家园”为例,采用比奇的分异度指数和GIS分析方法,对购房者的社会属性特征、工作地、原居住地等微观因素与居住地选择的关系进行了研究。研究表明,在微观居住区位的选择上,具有相同社会经济属性的群体趋向于选择相同的居住区位,社会经济属性的作用和居住分异现象在居住区位选择中开始凸显;受房价和经济实力的约束,年轻型家庭居住区位的选择方向已向郊区外移;对于有子女的家庭来说,教育资源的丰富与否则是居住区位决策的重要因素之一;现工作地和居住地之间的通勤时间对居住区位的选择具有决定性的影响;家庭生命周期、原居住地、消费观念和信息搜寻等对微观居住区位的选择具有一定影响。     

Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil

This study explores the relationship between Google search activity and the conditional volatility of oil and gold spot market returns. By aggregating the volume of queries related to the two commodity markets in the spirit of Da et al. ( 2015 ), we construct a weekly Searching Volume Index (SVI) for each market as proxy of households and investors information demand. We employ a rolling EGARCH framework to reveal how the significance of information demand has evolved through time. We find that higher information demand increases conditional volatility in gold and oil spot market returns. Information flows from Google SVI's reduce the proportion of the significant volatility asymmetry produced by negative shocks in both commodity markets. The latter is more profound in the gold market.     

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.     

Housing and unemployment: The search for the “American Dream”

This paper constructs a model of search and bargaining across two different markets: the labor market and the housing market. Interestingly, the model highlights that housing prices and frictions in the housing market have a profound impact on labor market activity through the desire of workers to eventually purchase a home, the “American Dream.” In particular, higher housing prices adversely affect workers’ incentives in the labor market as employment can eventually lead to access to housing through the ability to purchase a home. Similarly, labor market frictions can impact housing market activity. Notably, tighter housing markets are associated with higher unemployment rates and less job creation. Consequently, our work suggests that policymakers should be very careful in implementing policies targeted towards housing – housing markets are likely to generate significant external effects to other sectors of the economy, especially the labor market.     

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.     

Price response,information, and asymmetry of price dispersion

In this study, we examine how differently gasoline prices in 25 regions of Seoul, Korea respond to asymmetric information between retailers and consumers. We estimate the region-specific likelihood that retailers engage in price undercutting under asymmetric information and investigate inter-regional differences. We find that in response to increases in wholesale price, regions with a high likelihood of price undercutting experience intensified gas station price competition while dispersions of price and markups tend to decrease more in response to cost shocks. Understanding the geographical dispersion of retailers’ price responses to information frictions and search intensity is crucial to lowering information barriers across regions and redistributing profit among market participants.