The down-payment constraint and UK housing market: Does the theory fit the facts?

This paper considers empirical implications of the down-payment constraint for the UK housing market. It shows that, at the aggregate-level, models of the housing market with this constraint are consistent with a number of stylized facts. The paper then exploits variation across local housing markets and considers how leverage affects the response of house price inflation to shocks. The evidence, based on data for 147 district-level housing markets for the period 1993–2002, suggests that a large incidence of households with high leverage (loan-to-value ratios) raises the sensitivity of house prices to a shock. This is also consistent with the down-payment constraint model.     

House Prices, Housing Investment and Demography Forecasts from the LBS/Abbey National Model of the UK Housing Market

A new housing sector has been incorporated into the London Business School model. This article outlines the new housing model, summarizes the research which has gone into its construction, and presents a forecast of the UK housing market. Using the new housing model, we forecast a moderate recovery in the housing market in the later part of 1991 and 1992. This recovery is however short-lived and does not result in such high rates of house price increase as previous house price booms (Chart 1).
Cuts in interest rates following entry to the exchange rate mechanism of the EMS prompt a recovery in house prices from the middle of 1991. House price inflation then peaks with an increase in average UK house prices in 1992 of 11 per cent over the previous year. Increases in real personal disposable income are modest, by the standards of the 1980s, and for this reason the recovery does not develop the momentum of previous house price booms. House price inflation moderates again in 1993 falling back to around 7 per cent. Housing starts and housing investment recover only slightly from their present depressed levels.
the recovery in house prices is weaker than that foreseen in our April Forecast Release. This is because real personal disposable income is now forecast to grow more slowly during 1991. Sterling's membership of the ERM is followed by a fall in interest rates, but it is the timing of interest rate cuts rather than their magnitude which differs from the earlier forecast. The changed profile of interest rates has altered the house price forecast only marginally.     

Monetary policy,housing rents,and inflation dynamics

In this paper we study the effect of monetary policy shocks on housing rents. Our main finding is that, in contrast to house prices, housing rents increase in response to contractionary monetary policy shocks. We also find that, after a contractionary monetary policy shock, rental vacancies and the homeownership rate decline. This combination of results suggests that monetary policy may affect housing tenure decisions (own versus rent). In addition, we show that, with the exception of the shelter component, all other main components of the consumer price index (CPI) either decline in response to a contractionary monetary policy shock or are not responsive. These findings motivated us to study the statistical properties of alternative measures of inflation that exclude the shelter component. We find that measures of inflation that exclude shelter have most of the statistical properties of the widely used measures of inflation, such as the CPI and the price index for personal consumption expenditures, but have higher standard deviations and react more to monetary policy shocks. Finally, we show that the response of housing rents accounts for a large proportion of the “price puzzle” found in the literature.     

HOUSE PRICES AND THE ECONOMY

UK house prices more than doubled from 1985 until 1989, with house price inflation over the previous year peaking at 34 per cent in the fourth quarter of 1988. The ratio of house prices to average incomes reached levels which surpassed even those experienced during the 1972-73 house price boom. This sharp increase in housing wealth has been a major factor in the fall in the savings ratio over the past three years. This forecast release examines the prospects for future house price movements, discusses the sources of the recent house price boom and finally considers the possible impact on consumer expenditure.     

A dymimic model of housing price determination

This paper presents and estimates a model of the resale housing market. The data are a cross-section of monthly time series obtained from the multiple-listing service for a suburb of San Diego. The model is specified and estimated as a dynamic multiple indicator multiple cause system of equations where the capitalization rate is taken to be an unobservable time series to be estimated jointly with the unknown parameters. These are estimated by maximum likelihood using an EM algorithm based upon Kalman filtering and smoothing.The specification of the model features hedonic equations for each house sale and a dynamic equation for the capitalization rate which is constrained to make the expectation of prices equal the present value of the net returns to home ownership whenever the economic variables stabilize at steady state values. Out of steady state, the capitalization rate slowly adapts to new information.The model attributes a large portion of housing price increases of the 1970's to a fall in the capitalization rate which in turn was driven by rental inflation, tax rates and mortgage rates. Post-sample simulations indicate an initial flattening of housing inflation rates and later a fall brought on by the increase in steady state capitalization rates. In-sample simulations show that although both Proposition 13 and the inflation induced rise in the marginal income tax rates provided partial explanations for the fall in capitalization rates, the single most important factor was the acceleration in price of housing services which interacted with the tax treatment of home ownership to produce an amazing 18% average annual rate of price increase over the last seven years of the 1970's.     

我国通货膨胀与房地产价格的相关性研究

通货膨胀和房地产价格都是当前中国国民经济发展中遇到的热点问题,文章从探讨两者相关性出发,首先定性地讨论它们之间的有关理论和关系,然后通过实际数据,采用房地产价格、通货膨胀率、产出和利率等变量对其进行数据处理,再进行协整检验分析,由Granger因果检验得出我国房地产价格波动与通货膨胀率之间具有双向因果关系,最后给出了脉冲响应函数,得出结论：我国房地产价格波动与通货膨胀有一定的相关性。     

关于提高住宅有效购买力的几点思考

随着我国住房制度改革的推进 ,房地产业面临着前所未有的发展机遇。然而 ,几年过去了 ,我们却不得不面对住宅潜在需求和有效需求不足的尖锐矛盾。产生这一现象的原因是多方面的 ,笔者认为最主要的原因在于商品住宅价格偏高、住房金融市场发展缓慢以及住房交易市场不健全三个方面。因此 ,要使住宅产业真正成为消费热点和新的经济增长点 ,就必须努力降低现有商品住宅价格、加快住房金融市场的发展以及完善住房交易市场     

On the cyclicity of regional house prices: New evidence for U.S. metropolitan statistical areas

This paper is mainly concerned with the analysis of regional house price cycles. We introduce a wavelet transform based metric to study the housing cycle synchronization across the largest U.S. MSAs with a focus on the recent housing bubble. We derive several conclusions: (i) We show that regional housing cycle dissimilarities are significantly and strongly connected to geography. (ii) After the burst of the recent housing bubble there was greater significant co-movement in shorter cycles for a short period of time. (iii) Coastal regions, which have a higher house price volatility compared to other MSAs are also those with a higher degree of house supply regulation. (iv) A mortgage-rate reduction decrease the dissimilarity between the MSAs and the national housing cycle before the end of 2006 at higher frequencies. Hence, monetary policy is partially effective, whereas effectiveness depends on time, frequency, and the considered MSA.     

Dissecting the myth of the house price in Chinese metropolises: allowing for behavioral heterogeneity among investors

This paper aims to demystify the housing boom in Chinese metropolises by allowing for behavioral heterogeneity among investors. We construct an agent-based model where investors are categorized into two groups: fundamentalists and chartists. In addition, the investment strategy switching is allowed between these two groups contingent on the historical performance. Using the data of five Chinese metropolises over the period 2008–2014, the results suggest that chartists dominate the housing market and make the house price maintain an upward trend, while fundamentalists play a stabilizing role. Specifically, fundamentalists can serve as a “price anchor” in the market, because the proportion of the fundamentalists is negatively associated with both the growth rate of the house price and the deviation relative to the fundamental value. Overall, the impact of the chartists on the house price is much greater than that of the fundamentalists, which contributes to the ever-increasing house price in Chinese metropolises.

     

货币和税收政策对我国住房价格的影响——基于VAR模型的实证研究

基于我国1999-2010年房地产市场季度数据,本文建立向量自回归模型(VAR)和向量误差修正模型(VEC),将住房供给和需求同时纳入模型,分析我国利率政策、信贷政策和税收政策对住房价格的影响。结果显示,贷款利率在短期内对住房供给有负效应,但长期效应不明显;贷款规模对住房价格的短期冲击明显,二者之间存在正相关关系;针对保有环节征税可以通过影响住房供给,从而有效抑制住房价格上升。根据我国住房供求特点,应优先选择税收工具,通过促进住房供给实现控制房价的政策目标。     

A panel data analysis for housing affordability in Taiwan

Although the equilibrium relationship between household income and house price is well documented in previous theoretical studies, the empirical results are usually unfavorable. This article examines whether a long-term relationship between house price and income exists through a panel integration and cointegration methodology in analyzing data from four cities in Taiwan from 1980 to 2007. The findings support the existence of a long-term equilibrium relationship between income and house price, which indicate that housing affordability in Taiwan is stable. After controlling other variables, the income elasticity of house prices on average is close to one. Furthermore, evidence points to a bi-directional causality between income and house price.     

我国城镇中低收入居民保障性公共租房模式研究

近几年来,房价呈现出快速上涨的趋势。随着房价的攀升,居民的住房问题变得日益严峻。尽管已有不少研究者对于如何解决我国城镇居民的住房问题提出对策建议,但由于住房问题的长期性和我国国情的特殊性,这些对策建议还存在看诸多不足。本文借鉴了国内外经验,就如何保障我国城镇居民中低收入群体解决住房问题进行探讨,在分析影响公其租房相关因素的基础上,提出保障性公共租房模式,并进一步提出公共租房的建造流程和运营构想,以及相关注意事项和解决办法。     

基于信息不对称房价博弈模型的优化均衡研究

目前我国住宅市场存在严重的信息不对称,如何进行规制引起多方关注。首先利用房价博弈模型研究我国住宅市场信息不对称下的非理性均衡和精炼优化的序贯均衡,进而探求政府对市场房价经济优化规制后的理性序贯均衡,以此提出政府对住宅产业的规制方式和对策建议。     

Slow but stable(ish) house price growth lies ahead

• ? UK house price growth is running out of steam. And with household incomes squeezed and the affordability of housing stretched, we think a prolonged period of very modest growth lies ahead. But the prospect of a crash is remote.
• ? At 2.6% in Q2 2017, annual house price growth is presently running at a four‐year low. This is a step change down from the recent peak of nearly 10% in mid‐2014 and average growth of 4% over the current economic expansion.
• ? Three developments are likely to lie behind this slowdown. The first is weak growth in households' real income, cutting the ability to save for a deposit or finance a move up the housing ladder. That said, past periods of sluggish income growth have not always been associated with low house price inflation.
• ? The second is the consequence of recent tax hikes imposed on buy‐to‐let investors and second‐home owners, which theory suggests should be capitalised in lower property prices.
• ? The third and perhaps most important reason is the increasing unaffordability of housing to an ever‐widening sub‐set of the population. The ratio of house prices to earnings is almost back at its pre‐crisis record. And the income of the average mortgage borrower is close to £60,000, more than double the average annual wage.
• ? This third factor has implications beyond price growth, suggesting both a permanently lower level of transactions and a further decline in the number of households with mortgages, continuing a trend which began at the beginning of the century.
• ? But set against these headwinds is the cushion provided by record lows for both mortgage rates and mortgage affordability. Overall, house prices are caught between a lack of traditional drivers of accelerating growth, but equally an absence of forces which have typically caused prices to fall. Hence, our expectation of a period of sluggish, but relatively stable, growth.

     

Housing slump could cut world growth to decade‐low

• ? A combined slump in house prices and housing investment in the major economies could cut world growth to a 10‐year low of 2.2% by 2020 – and to below 2% if it also triggered a tightening in global credit conditions.
• ? In such a scenario, inflation would remain well below target in the main economies, and US Fed rates would be up to 100 basis points lower than in our baseline by 2021.
• ? Signs of a global house price downturn are already visible, with around a third of our sample of economies seeing falling prices and world residential investment starting to decline. High house price valuations add to the risk that this downturn will deepen in the coming quarters, hitting consumer spending.
• ? Using the Oxford Global Economic Model, we find that a 10% fall in house prices and an 8% fall in housing investment both cut growth by around 0.3%‐0.4% across regions. Adding a sharp Chinese downturn, such as that seen in 2015, has a large additional impact on growth in Asia .

     

On the welfare cost of rare housing disasters

This paper examines the welfare cost of rare housing disasters characterized by large drops in house prices. I construct an OLG general equilibrium model with recursive preferences and housing disaster shocks. The likelihood and magnitude of housing disasters are inferred from historical housing market experiences in the OECD. The model shows that despite the rarity of housing disasters, Canadian households would willingly give up 6 percent of their non-housing consumption each year to eliminate the housing disaster risk. The welfare evaluation of this risk, however, varies considerably across age groups. The risk translates into a welfare loss of as much as 16 percent of annual non-housing consumption for the old, but a welfare gain of 2 percent for the young. This asymmetry stems from the fact that, compared to the old, younger households suffer less from house price declines in disaster periods, due to smaller holdings of housing assets, and benefit from lower house prices in normal periods, due to the negative price effect of disaster risk.     

住房价格的特征法分析与“夹心层”住房需求的实证估测

本文基于对上海市600余名夹心层(青年白领)人士的问卷调查,采用特征价格法模型计量测度了住房关键性特征对上海住房价格的影响。在此基础上,根据上海市夹心层真实住房需求分布情况推算出该群体期望住房的市场价格,从而为进一步衡量夹心层住房购买力缺口提供科学依据。     

House price risk and the hedging benefits of home ownership

Using a repeat-sales methodology, this paper finds that estimates of house price risk based on aggregate house price indices substantially underestimate the true size of house price risk. This is the result of the fact that aggregate house price indices average away the idiosyncratic volatility in house prices. Additional results show that the idiosyncratic risk exceeds the hedging benefits of home ownership. These results imply that for many home owners, owning a house may well add more price risk than it hedges away. These findings are based on a detailed dataset of individual housing transactions in the Netherlands.     

Subprime mortgages and the housing bubble

This paper explores the link between the house-price expectations of mortgage lenders and the extent of subprime lending. It argues that bubble conditions in the housing market are likely to spur subprime lending, with favorable price expectations easing the default concerns of lenders and thus increasing their willingness to extend loans to risky borrowers. Since the demand created by subprime lending feeds back onto house prices, such lending also helps to fuel an emerging housing bubble. These ideas are illustrated in a theoretical model, and tentative support is found in empirical work exploring the connection between price expectations and the extent of subprime lending.     

The UK housing market and the monetary policy transmission mechanism: An SVAR approach

I estimate an eight variable structural vector autoregression (SVAR) model of the UK economy based upon that of Kim and Roubini [Kim, S., Roubini, N., 2000. Exchange rate anomalies in the industrial countries: a solution with a structural VAR approach. J. Monet. Econ. 45(3), 561–586] for the purpose of investigating the role of the housing market in the transmission of monetary policy. Retail sales fall by just under 0.4% following a temporary positive 100 basis points shock to short-term domestic interest rates; inflation is also lowered. House prices fall by 0.75%. House price shocks increase consumption, the price level and interest rates. Combining the central estimates for interest rate and house price shocks suggests that house price movements can explain about one-seventh of the fall in consumption following an interest rate shock. A counterfactual simulation comes to a similar figure.