Economic Outlook 1991 – 1995: The London Business School with Gower Publishing: THE HOUSING MAFUCJIT IN RECESSION : A PAINFUL ADJUSTMENT TO ERM DISCIPLINE

We, together with almost every other commentator on the UK housing market, forecast a recovery of house prices and turnover during 1991. These hopes have been disappointed. This Forecast Release addresses some of the questions raised by this prolonged weakness in the housing market. Why did we, and so many others mis-judge the outlook for house prices and housing investment? Are there structural problems, especially those associated with the adjustment to the inflationary discipline of the E M, which are preventing a revival? When will recoverly take place and can there ever be a house-price boom similar to 1984–1988 again? One reason for the unanticipated weakness of the housing market is the growing problem of mortgage arrears and possessions. This can be expected to produce at least some temporary weakening of house prices as a reaction to the current volume of empty properties being put onto the market. There is a more fundamental reason for the current weakness of house prices. Unlike previous house price booms and busts, the present recession offers no relief to the hard-pressed borrower in the form of a rapid inflation of average earnings. Difficulties with mortgage repayments, for highly indebted households, are set to continue for some time. These lessons are not being lost, either on prospective purchasers who are’ being discouraged from taking out substantial mortgages in relation to their incomes, or on mortgage lenders who are being much more prudent in the setting of mortgage to- income and mortgage-to-price limits. The result is a long overdue adjustment of British attitudes towards own er-occupation.     

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.     

House Prices and Housing Investment in Sweden and the UK: Econometric Analysis for the Period 1970–1998

We estimate quarterly dynamic housing demand and investment supply models for Sweden and the UK for the sample period 1970–1998, using an Error Correction Method (ECM). To facilitate comparisons of results between Sweden and the UK we model both countries identically with approximately almost the similar type of exogenous variables. The long–run income elasticities for Sweden and the UK are constrained to be 1.0, respectively. The long–run semi–elasticity for interest rates are 2.1 and 0.9 for Sweden and the UK. The speed of adjustment on the demand side is 0.12 and 0.23, while on the supply side it is 0.06 and 0.48 for Sweden and the UK, respectively. Granger causality tests indicate that income Granger causes house prices for Sweden, while for the UK there is also feedback from house prices to income. House prices Granger cause financial wealth for Sweden, while for the UK it is vice–versa. House prices cause household debt for Sweden, while for the UK there is a feedback from debt. Interest rates Granger cause house prices for the UK and Sweden. In both countries Tobin's q Granger cause housing investment. Generally, the diagnostic tests indicate that the model specifications were satisfactory to the unknown data generating process.     

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.     

Housing Wealth and UK Consumption

There is widespread disagreement about the role of housing wealth in explaining consumption. However, much of the empirical literature is marred by poor controls for the common drivers both of house prices and consumption, such as income, income growth expectations, interest rates, credit supply conditions, other assets and indicators of income uncertainty (e.g. changes in the unemployment rate). For instance, while the easing of credit supply conditions is usually followed by a house price boom, failure to control for the direct effect of credit liberalisation on consumption can over‐estimate the effect of housing wealth or collateral on consumption. This paper (Janine Aron, John Muellbauer and Anthony Murphyi, October 2006) estimates an empirical model for UK consumption from 1972 to 2005, grounded in theory, and with more complete empirical controls than hitherto used.     

Housing and the Korean economy

This paper explores the nexus between housing and the Korean economy. It starts with an overview of the size, growth, and volatility of residential investment in conjunction with long-term resource allocation and short-term macroeconomic fluctuations. Then, the evolution of housing finance and its implications for recent house price run-up are discussed. The relationships among housing price, consumer spending, and inflation are also investigated. Particular attention is paid to the debate over house price bubbles, housing wealth effects on consumption, and the causality between house price and inflation. The paper concludes with a brief assessment of government intervention to stabilize house prices.     

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.     

我国房地产价格与宏观经济变量关系的实证分析

在对住宅服务流量模型进行修正的基础上,运用回归分析方法对我国房地产价格与宏观经济变量的长期关系进行了实证分析,研究结果表明:利率对我国房价影响较小,降息对房地产市场的刺激作用有限;房地产市场长期均衡需要人均可支配收入快速增长作保证;为控制房价稳中有降,银行应适度增加房地产信贷,但不能过度。在当前房地产市场出现"拐点"的形势下,政府要根据房地产市场的变化情况来制定相应的宏观调控政策,恢复市场信心,促进房地产市场健康发展。     

Measuring the Importance of Location in House Price Appreciation

This paper examines the variation in the rates of price appreciation within an individual metropolitan market. A methodology is developed to examine the locational variation in house price changes in Dade County (Miami) Florida, from 1971 to 1992. House price appreciation appears to be somewhat spatially related; that is, it varies by municipality, with distance from the CBD, with local changes in population and housing units, and by ethnic mix. However, these relationships have minimal explanatory power. Controlling for the census tract group location of each home explains only around 12% of the (residual) variation in the appreciation of individual homes that is not explained by metropolitan-wide changes in house prices. The effect of tract group location appears to be dominated by the idiosyncratic influences of individual homes and their immediate environments.     

Savings, Personal Wealth and Risk

In this Briefing Paper we examine the underlying determinants of personal savings behaviour to substantiate our view that the recent fall in savings rates does not imply that it must in future bounce back to some more normal level. On the contrary there are good reasons for believing that savings are more likely to go on falling than to rise.
We argue that consumer behaviour should be related explicitly to personal wealth as well as to disposable income. Personal wealth has risen substantially since 1982: the fall in inflation and long-term interest rates has pushed up gilts' prices; the recovery of profits has sparked off a stock market boom; and the value of the housing stock, which is by far the most important asset held by the personal sector, has started to rise again in real terms. This rise in asset values means that, despite a rise in consumption financed by borrowing, the personal sector balance sheet still in a healthy state, particularly when account is taken of the personal savings now held indirectly via pension funds. These have risen rapidly recently, reducing the need for other long-term savings.
The rise in total wealth has increased savers' tolerance of a fall in net liquid assets (bank and building society deposits etc less borrowing). The willingness to hold a smaller (precautionary) stock of net liquid assets may also reflect a perceived reduction in risk. Financial markets have been much more stable over the period since 1975 than over the preceding eight years, and may now be signalling that the period of adjustment to the shocks and disturbances of the 1970s is drawing to an end. The fall in savings is a worldwide phenomenon. As in the UK it is linked to the fall in inflation and may also be connected with the recovery of the world's major stock markets.     

Efficiency and Seasonality in the UK Housing Market, 1991–2001*

This paper considers the informational efficiency of the UK owner‐occupied housing market over the period 1991–2001. Original small‐area, monthly, quality‐adjusted house price index series are developed from raw housing transaction observations for a number of UK counties and cities. These series are then tested in an autoregressive setting for characteristics indicative of weak market efficiency and seasonality. The major conclusion drawn is that there exists little evidence to support notions of inefficiency in these markets over the period considered.     

Permanent and transitory shocks in owner-occupied housing: A common trend model of price dynamics

Significant fluctuations in house prices have received considerable attention in recent years. An understanding of the forces underlying the departure from fundamental values is important in explaining the mechanisms underlying housing market performance and predicting potential house price changes in the future. This study constitutes the first use of a common trend (CT) model to analyze private house prices in the Swedish market. We employ a cointegration system to analyze the macro variables of consumption expenditure per capita, user costs and house prices. We decompose shocks into those resulting from fundamental variables, specified in this research as income and the interest rate, and those resulting from cyclical variables. The results indicate that interest rates play a dominant role in explaining house price swings, and are also significant in determining user costs for households in Sweden. Transitory shocks are found to have little explanatory power for house prices and user costs in the long run. A number of tests have been performed to verify the robustness of the specification and results.     

THE DYNAMICS OF UK NATIONAL AND REGIONAL HOUSE PRICES

In this paper, the Johansen cointegration technique is applied to modeling the dynamics of national and regional house prices. It is concluded that household income, real mortgage rate and housing completions are significant factors influencing house price changes at the national level. The underlying structure of the national market is investigated, showing that while price trends in some regions of the UK are strongly related by causal processes, others are relatively independent     

Housing, credit, and real activity cycles: Characteristics and comovement

This paper describes the characteristics and comovement of cycles in house prices, residential investment, credit, interest rates, and real activity in advanced economies during the past 25 years. Stylized facts and regularities are uncovered using a dynamic generalized factor model and spectral techniques. House price cycles are found to lead credit and real activity over the long term, while in the short to medium term the relationship varies across countries. Interest rates tend to lag other cycles at all time horizons. Although global factors are important, the US business cycle, housing cycle and interest rate cycle generally lead the respective cycles in other countries over all time horizons, while the US credit cycle leads mainly over the long term.     

Estimating the Demand for Housing, Land, and Neighbourhood Characteristics

This paper provides estimates of the structure of demand for individual housing and neighbourhood characteristics and for land in two British cities. We estimate a hedonic price function, and from this obtain the implicit prices of house attributes. These prices are used to estimate a demand system for each city. These perform well, and enable us to calculate price and income elasticities for each of the non-dichotomous characteristics and for land. To counteract criticisms of demand estimates derived within the hedonic framework a method is developed for selecting an appropriate set of instrumental variables. Estimates derived from this method, however, differ only slightly from those obtained using the conventional techniques. Several features of these estimates provide insights into the unusual characteristics of the British housing market, the effects of constraints imposed by land use planning, and the effects of changing income distribution on the structure of demand.     

What drives returns to euro area housing? Evidence from a dynamic dividend–discount model

We apply a dynamic dividend–discount model to analyse housing returns for eight euro area countries comprising over 90% of euro area GDP, both individually and as a panel. A vector autoregressive model (VAR) is estimated for four variables – excess return to housing, rents, the real interest rate and real disposable per capita income – using quarterly data over the period 1978–2009. This empirical investigation – which allows for a decomposition of house price movements into movements in rent (cash-flow) and expected return news components – indicates that the bulk of the variability of euro area house price movements can be attributed to movements in fundamentals. There remains nonetheless an important but less sizeable influence of market-wide (or expected-return) variations in house prices. Country-specific estimation indicates considerable heterogeneity around the euro area result, both for what concerns long-term impacts and dynamics. Notably, changes in expected returns play a relatively strong role in the house prices of Ireland and Spain.     

Migration within England and Wales and the Housing Market

Economic conditions exert a strong influence on regional migration. On the one hand, strong labour market conditions, as exemplified by low unemployment rates and high earnings, draw migrants into regions. On the other hand, strong housing market conditions can prevent movement since commuting may often be an alternative to migration. This can be thought of as giving rise to a migration equilibrium where high house prices choke off migration caused by strong labour market conditions. Expected capital gains in housing, however, can offset high levels of house prices, an effect ignored in previous literature. Migration can also be influenced more directly by the availability of housing relative to population without this being mediated through prices. This paper, by Gavin Cameron, John Muellbauer and Anthony Murphy, presents evidence on inter‐regional net and gross migration between the regions of England and Wales that is broadly in accord with these expectations.     

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.     

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。     

The economics of diamond price movements

Diamonds are traditionally classified into three different market segments —industrial, jewellery and investment. The empirical findings support the argument that diamond prices of these three group types respond differently to business cycles. Industrial diamond prices, especially those of natural stones, have been found to be influenced by the level of economic activity in general and the volume of manufacturing production in partiular. However, the price of synthetic diamonds, especially in grit form, have declined irrespective of the business cycle as a result of technological developments and the expansion of the market which enabled producers to gait scale advantages. Prices of jewellery diamonds have been found to be most highly correlated with disposable income. As could be expected, these price have also been found to be positively correlated with inflation rates and negatively correlated with real interest rates. Prices of investment diamonds have been found to be particularly sensitive to real interest rates, to the value of the exchange rates of the US dollar and, like other gems, to disposable income. The paper also describes and discusses the activity in various diamond markets and the business policy of De Beers, the ‘king’ of the rough diamonds.