House price dynamics: Evidence from Beijing

To study the house price dynamics in China, this paper extends the traditional life-cycle model by incorporating land supply, regime shifts and government regulation factors. The models are estimated with an error correction framework using quarterly data from 2000 to 2007 in Beijing. The conclusions are as follows. (1) There exits a stable co-integration relationship between house price and fundamentals; land supply and financial regimes are also important determinants of long-run equilibrium house prices. (2) Short-run dynamics depend on changes of fundamentals and the adjustment process of housing market. Land supply has a significant impact on house price fluctuations while demand factors such as user costs, income and residential mortgage loan have greater influences. The adjustment speed of real house prices to the long-run equilibrium has been reduced significantly since 2005 which means exogenous shocks can cause prolonged deviation of real house prices from the equilibrium level.     

Modelling structural change in the UK housing market: A comparison of alternative house price models

This paper develops a new approach to the modelling of house prices in the UK, with housing demand being conditioned directly on consumers' expenditure rather than the determinants of expenditure. Conditioning on consumption ensures that the permanent income measure used in determining the level of consumption is consistently reflected in housing demand. The effects of financial liberalisation on the relative consumption of housing and non-housing goods and services are captured using the average loan-value ratio for first-time buyers. We also allow for financial effects via the real user cost of home ownership. House prices are assumed to adjust so as to clear the housing market. The proposed model is found to have structurally stable parameters across the housing market downturn since 1990. Statistical comparisons with the more conventional models in use at HM Treasury and the Bank of England during the early 1990s provide additional evidence in favour of our proposed approach.     

Forecasting UK house prices: A time varying coefficient approach

Previous studies of UK house prices, developed from the demand and supply ofhousing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression.     

Explaining House Prices in Australia: 1970–2003*

This paper aims to explain changes in real house prices in Australia from 1970 to 2003. We develop and estimate a long-run equilibrium model that shows the real long-run economic determinants of house prices and a short-run asymmetric error correction model to represent house price changes in the short run. We find that, in the long run, real house prices are determined significantly and positively by real disposable income and the consumer price index. They are also determined significantly and negatively by the unemployment rate, real mortgage rates, equity prices and the housing stock. Employing our short-run asymmetric error correction model, we find that there are significant lags in adjustment to equilibrium. When real house prices are rising at more than 2 per cent per annum, the housing market adjusts to equilibrium in approximately four quarters. When real house prices are static or falling, the adjustment process takes six quarters.     

Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models

This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and magnitude of past realization of returns and the growth of industrial production. Our findings show that (i) macroeconomic activity is likely to affect carbon prices with a lag, due to the specific institutional constraints of this environmental market; (ii) the joint dynamics of industrial production and carbon prices seem adequately captured by two-regime threshold vector error-correction and two-regime Markov-switching VAR models compared to linear models as main competitors. The regime-switching models proposed are profoundly checked for their economic content and statistical congruency, and are found to provide a sound statistical framework for a comprehensive analysis of the carbon-macroeconomy relationship.     

Regime switching and the (in)stability of the price–rent relationship: evidence from the US

Present value models of house prices assert that in the absence of self-fulfilling bubbles, a house price is equal to the present discount value of all future rents, which implies a linear relationship between house price and rent, and hence a stable price-to-rent ratio. Using a Markov switching error correction model, we re-examine this relationship in the US housing market and find two distinctive regimes: one with a long-run relation between house price and rent predicted by the present value models and the other in which the relation is nonlinear. Furthermore, we find evidence that deviations of house prices from the present value models’ predictions are caused by the overreaction of house prices to movements in rents rather than speculative bubbles attributable to extraneous factors.     

Are mortgage lenders guilty of the housing bubble? A UK perspective

Existing theoretical models of house prices and credit rely on continuous rationality of consumers, an assumption that has been frequently questioned in recent years. Meanwhile, empirical investigations of the relationship between prices and credit are often based on national-level data, which is then tested for structural breaks and asymmetric responses, usually with subsamples. Earlier author argues that local markets are structurally different from one another and so the coefficients of any estimated housing market model should vary from region to region. We investigate differences in the price–credit relationship for 12 regions of the UK. Markov-switching is introduced to capture asymmetric market behaviours and turning points. Results show that credit abundance had a large impact on house prices in Greater London and nearby regions alongside a strong positive feedback effect from past house price movements. This impact is even larger in Greater London and the South East of England when house prices are falling, which are the only instances where the credit effect is more prominent than the positive feedback effect. A strong positive feedback effect from past lending activity is also present in the loan dynamics. Furthermore, bubble probabilities extracted using a discrete Kalman filter neatly capture market turning points.     

Endogenous Restrictions for Least Developed Economies

The paper explores appropriate trade restrictions for least developed countries facing external terms-of-trade disturbances in terms of minimizing variations in the real sphere of the economy. Two alternative models are explored: export-subsidy versus import-tariff endogeneity. The theoretical model indicates that the tariff regime is a more appropriate policy. Empirical evidence from Sudan (1950– 1991) suggests that, although there is some discernable evidence that Sudan followed the tariff regime, the country did not apply the policy correctly, adjusting the tariff mainly in response to foreign import prices rather than foreign export prices, which are more unstable.     

Housing booms and media coverage

This article analyses news media coverage of the housing market. Building on theories of media influence where word of mouth is the final mechanism of opinion change but media initiate discourse, I examine the relationship between news media and the recent UK house price boom. Over 30 000 articles on the UK housing market from the period 1993 to 2008 are analysed, and it is found that media Granger-caused real house price changes, suggesting the media may have influenced opinions on the housing market. However, media sentiment on the housing market did not change with the secular increase in house prices in the 2000s, suggesting that the media did not contribute to the UK’s housing boom and may have helped constrain it.     

中国房地产价格波动区域差异的实证分析

本文首先定性地比较了各地房价的波动,发现其波动具有明显的地区不平衡性。进一步,本文基于误差修正模型形式的paneldata模型讨论了房价区域波动的差异,并分析了造成各地区房价波动差异的原因,尤其是货币政策效应的区域差异。结论如下:无论是房价的长期趋势还是短期波动,信贷规模对东、西部地区影响都比较大,中部地区较小,表明政府实施的信贷政策对调控东、西部地区的房价是有效的。实际利率对各区域影响差异不大,且影响较小。人均GDP无论长期还是短期对中部地区房价影响都比较大,表明中部地区房地产市场的发展更多地依赖于该地区的经济发展状况。房价的预期变量在东部地区对房价的短期波动有较大影响。     

Testing for adjustment costs and regime shifts in BRENT crude futures market

This paper, using a threshold vector error-correction (TVECM) model, examines whether BRENT crude spot and futures oil prices are cointegrated. By employing this methodology we are able to evaluate the degree and dynamics of transaction costs resulting from various market imperfections. TVECM model is applied on daily spot and futures oil prices covering the period 1990-2009. The hypothesis we test is to what extent BRENT crude is indeed an integrated oil market in terms of threshold effects and adjustment costs. Our findings support that market follows a gradual integration path. We find that BRENT crude spot and futures are cointegrated, though two regimes are clearly identified. This implies that a threshold exists and it is indeed significant. Adjustment costs in the error correction are present, and they are valid at the typical regime that is the dominant, and as a result should not be ignored.     

The dynamic effects of shocks to wages and prices in the United States and the Euro Area

This article investigates the dynamics of aggregate wages and prices in the United States (US) and the Euro Area (EA) with a special focus on persistence of real wages, wage and price inflation. The analysis is conducted within a structural vector error-correction model, where the structural shocks are identified using the long-run properties of the theoretical model, as well as the cointegrating properties of the estimated system. Overall, in the long run, wage and price inflation emerge as more persistent in the EA than in the US in the face of import price, unemployment, or permanent technology shocks. This finding is robust to the changes in the sample period and in the models’ specifications entertained in the article.     

Bubbles in UK house prices: evidence from ESTR models

Recent movements in stock and house prices have led to an examination of the presence of bubbles. Whilst, there is extensive research on stock price data, there is relatively less for house prices. This paper uses a present‐value model for house prices to test for the presence of bubbles. The results support the presence of a non‐fundamental component within UK national and regional house prices. In particular, for the majority of series considered, evidence is presented of linear non‐stationarity within the fundamental present‐value relationship, and of non‐linear stationarity, implying the presence of a non‐fundamental, or bubble, component. Furthermore, evidence is presented that prices adjust quicker when they are below fundamental equilibrium, than when they are above fundamental equilibrium, i.e. there is downward price stickiness. These results support the hypothesis that house price dynamics can be characterised by price‐to‐price momentum. Finally, forecast evidence suggests that real prices are likely to adjust downwards and converge with fundamental value.     

Population and house prices in the United Kingdom

Real house prices rise in the United Kingdom amid growing concern of an impending correction. The rate of household formation has increased with strong population growth, due to elevated rates of natural increase and net migration, and lack of growth in average household size, due to a rise in single‐person households with population ageing. This paper presents an overlapping generations model of housing, endogenous labour, savings and growth to analyse the effect of an increase in the household formation rate and speculative demand under rational expectations on house prices in a general equilibrium. We find that real house prices rise over time if the rate of household formation outstrips the rate of housing supply, but do not follow a speculative bubble path in the long run. The results explain why the upward trend in real house prices reflects market fundamentals and has continued despite population ageing as the number of working and retired households grows relative to the number of older people seeking to sell.     

Relationships among regional housing markets: Evidence on adjustments of housing burden

High regional house prices relative to income may result in residents moving to other regions with lower housing burden; this generates relationships among regional housing markets. From this perspective, this study employed Markov-switching models to examine housing affordability in 10 regional housing markets in the UK. The results show that levels of housing burden among regions are related, thereby proving that a high cost of housing burden in one region may result in residents buying houses in other regions. Moreover, this study found that house prices in most regions tend to converge with income levels but are asymmetric within the period of convergence. Specifically, because the period of high housing loans lasts longer, and vice versa, housing demand increases as soon as house prices drop. Thus, periods of “inexpensive” house prices do not last long. This paper explains why living costs in different regions are related, and proposes that housing demands may have asymmetric reactions when house prices are too high or too low.     

Do changes in the fundamentals have symmetric or asymmetric effects on house prices? Evidence from 52 states of the United States of America

Time-series studies that have tried to establish the long-run relationship between house prices and economic fundamentals have been criticized due to low power of their cointegration tests. On the other hand, those who have used panel data and panel tests to increase the power have found mixed results. Both groups have assumed that changes in the fundamentals have symmetric effects on house prices. In this article, we use nonlinear ARDL approach to cointegration and error-correction modelling and quarterly data from each of the states in the US to show that changes in the fundamentals have asymmetric effects on house prices, in the short run as well as in the long run. Cointegration between house prices and fundamentals is established in 30 states and in District of Columbia.     

A DISEQUILIBRIUM MODEL UNDER BILATERAL MONOPOLY*

The paper points out a crucial difference between the conventional disequilibrium macro model and partial equilibrium models of wage bargaining, In the former the real wage is constrained to be less than or equal to the marginal product, whereas in the latter the real wage is frequently constrained to be greater than or equal to the marginal product. The paper builds a disequilibrium model under bilateral monopoly, paying explicit attention to the labour market. The well-known union model of McDonald and Solow forms the basis of the labour market analysis. Just as the three regions of Keynesian Unemployment, Classical Unemployment and Repressed Inflation are configured in the conventional case, an equivalent exercise is undertaken but with the addition of a collectively negotiated wage. The particular wage agreement used is the Nash bargain. The framework is then used to account for the unusual events that occurred in the UK labour market 1979–81, particularly the unprecedented rise in unemployment with no diminution of the inflation rate. It suggests that there was a shift in bargaining advantage in favour of employers, which resulted in an increased share of profits in national income. This regime change exacerbated the unfavourable circumstances for labour, which existed at that time.     

The impact of the post-1972 floating exchange-rate regime on US exports

By employing the techniques of cointegration and error-correction models, this article empirically investigates the impact of the post-1972 floating exchange-rate regime on the volume of US bilateral exports to Canada, Germany, Japan and the UK. The econometric models specified in the analysis were estimated using quarterly data for the sample period 1959:1–1997:4. The empirical results provide evidence that the post-1972 exchange-rate regime is less conducive to trade than the Bretton-Woods fixed exchange rate regime.     

The drivers of household indebtedness reconsidered: An empirical evaluation of competing arguments on the macroeconomic determinants of household indebtedness in OECD countries

Abstract

Household debt is at a record high in most Organisation for Economic Co-operation and Development (OECD) countries and it played a crucial role in the recent financial crisis. Several arguments on the macroeconomic drivers of household debt have been put forward, and most have been empirically tested, albeit in isolation of each other. This article empirically tests 7 competing hypotheses on the macroeconomic determinants of household indebtedness together in one econometric study. Existing arguments suggest that residential house prices, upward movements in the prices of assets demanded by households, the income share of the top 1%, falling wages, the rolling back of the welfare state, the age structure of the population, and the short-term interest rate drive household indebtedness. We formulate these arguments as hypotheses and test them for a panel of 13 OECD countries over the period 1993–2011 using error correction models. We also investigate whether effects differ in boom and bust phases of the debt and house price cycles. The results show that the most robust macroeconomic determinant of household debt is real residential house prices, and that the phase of the debt and house price cycles plays a role in household debt accumulation.