HOUSE PRICES,SALES, AND TIME ON THE MARKET: A SEARCH‐THEORETIC FRAMEWORK

We assess the ability of a standard search and matching framework to account for the cyclical properties of key macroeconomic time series of the housing market. We calibrate a model with aggregate demand and supply shocks to match selected business cycle properties of vacancies and sales in the United States. Our model reproduces the cyclical time series properties of house prices and the positive and negative comovement of prices with sales and time on the market, respectively. Search and matching frictions produce trading delays that augment the volatility of prices and propagate the effect of aggregate shocks to future periods.     

Housing,consumption and monetary policy: how different are the first-, second- and third-tier cities in China?

This article presents an empirical analysis of the relationship between house prices and the real economy in China’s first-, second- and third-tier cities. A Structural Vector Autoregression model is applied to study the impacts of monetary policy shocks and housing demand shocks on various housing markets across China. We also investigate the role of house prices in the transmission mechanism of monetary policy. The results reveal that in first-tier cities, raising interest rates has a stronger negative effect on house prices. Also, as house prices decrease in first-tier cities, private consumption declines sharply. There is a stronger role of housing markets in the transmission of monetary policy shocks in these cities. Our findings indicate that interest rate adjustment could effectively curb spikes in housing prices in the first-tier cities, but the impact of such adjustments on household consumption must also be considered.     

Joint Adjustment of House Prices, Stock Prices and Output Towards Short‐run Equilibrium

A dynamic IS‐LM model including houses and stocks as additional assets will be analysed in this paper. Providing also housing services, a major consumption item for most households, houses create an additional link between the monetary and the real sector, distinct from the traditional wealth effect channel. We analyse the adjustment path of output, house prices and stock prices after policy shocks within a rational expectation setup. Depending crucially on the elasticity of housing services demand, different reaction patterns of asset prices will emerge. The results are contrasted with relevant empirical findings, particularly Lastrapes (Journal of Housing Economics, 11 (2002), pp. 40–74), leading to the identification of plausible elasticity ranges. The analysis sheds new light on the ongoing discussion about demand effects from changing real estate wealth and about determinants of house price fluctuations.     

A model of housing and credit cycles with imperfect market knowledge

The paper presents a model of housing and credit cycles featuring distorted beliefs and comovement and mutual reinforcement between house price expectations and price developments via credit expansion/contraction. Positive (negative) development in house prices fuels optimism (pessimism) and credit expansion (contraction), which in turn boost (dampen) housing demand and house prices and reinforce agents׳ optimism (pessimism). Bayesian learning about house prices can endogenously generate self-reinforcing booms and busts in house prices and significantly strengthen the role of collateral constraints in aggregate fluctuations. The model can quantitatively account for the 2001–2008 U.S. boom-bust cycle in house prices and associated household debt and consumption dynamics. It also demonstrates that allowing for imperfect knowledge of agents, a higher leveraged economy is more prone to self-reinforcing fluctuations.     

On the permanent effect of an aggregate demand shock: Evidence from the G-7 countries

This paper extends the work of Cover, Enders and Hueng (2006) to examine the idea that an aggregate demand shock may have permanent effect on the output level by indirectly shifting the aggregate supply curve. We utilize the bivariate SVAR modeling and adopt an identification scheme, which allows for the possibility that a shift in the aggregate demand curve may induce the long-run aggregate supply curve to shift. We have shown that aggregate supply shocks are positively affected by the demand shocks in each of the G-7 countries. It is found that a one-time positive aggregate demand shock increases the output level permanently in these industrialized economies. We have also shown that our decomposition strategy can help resolve anomalies in the responses of inflation to a positive aggregate supply shock observed in a simple Blanchard-Quah decomposition.     

Wealth Effects and Consumption: A Panel VAR Approach

We provide new evidence on the comparison between the stock and housing wealth effects on consumption. Using a panel VAR approach applied to OECD data, we find evidence that the stock market wealth effect is generally the larger. However, with regard to the evolution of asset wealth effects over time, our findings show that the housing wealth effect has outweighed the share market wealth effect in the last decade. We further find that asset wealth has asymmetric effects on consumption, with stronger and more persistent effects from positive asset wealth shocks. Our results have important monetary policy implications for both stock and real estate markets, and offer timely insights into the desirability of current proposals to reduce house price volatility, such as through macro prudential regulations.     

HOUSE PRICES AND CONSUMPTION INEQUALITY

I characterize how house price shocks affect consumption inequality using a life cycle model of housing and nonhousing consumption with incomplete markets. I derive analytical expressions for the dynamics of inequalities and use these to analyze large house prices swings seen in the United Kingdom. I show that movements in consumption inequality were large, that they correspond with the theoretical predictions qualitatively, and that the model explains a large fraction of the movements quantitatively. I demonstrate the accuracy of this analysis using an extended model's full nonlinear solution. Finally, accounting for house price shocks alters estimates of labor–income risks using cross‐sectional data.     

THE ROLE OF HOUSE PRICES IN THE MONETARY TRANSMISSION MECHANISM ACROSS EUROPEAN COUNTRIES

This paper provides a discussion of the ‘housing market’ channels of the monetary transmission mechanism and offers some evidence of institutional differences in the European housing and mortgage markets. Using a number of Vector Autoregressive models, estimated individually for nine European countries over the pre‐EMU period, we find that house prices are significantly affected by interest rate shocks. The relative role of these interest‐rate‐induced fluctuations in house prices for private consumption is then investigated. We show that house prices may enhance the effects of interest rate shocks on consumer spending in those economies where housing and mortgage markets are relatively more developed and competitive.     

Inequality and the business cycle: evidence from U.S. survey data

ABSTRACT

We study the effects of macroeconomic shocks on measures of economic inequality obtained from U.S. survey data. To identify aggregate supply, aggregate demand, and monetary policy shocks, we estimate vector autoregressions and impose sign and zero restrictions on impulse response functions. We find that the effects of the macroeconomic shocks on inequality depend on the type of shock as well as on the measure of inequality considered. Contractionary monetary policy shocks increase expenditure and consumption inequality, whereas income and earnings inequality are less affected. Adverse aggregate supply and demand shocks increase income and earnings inequality, but reduce expenditure and consumption inequality. Our results suggest that different channels dominate in the transmission of the shocks. The earnings heterogeneity channel is consistent with the inequality dynamics after monetary policy shocks, but it appears to be less crucial when the economy is hit by either aggregate supply or aggregate demand shocks. Using variance decompositions, we find that although the macroeconomic shocks account for large shares of the variation in the macroeconomic variables, their contributions to the dynamics of the inequality measures are limited.     

THE PECULIAR ECONOMICS OF HOUSING BUBBLES

Home values increase rapidly during housing bubbles generating large capital gains. High loan‐to‐value (LTV) mortgages secured by expected future home values are one way to take advantage of these capital gains. In this article, we use a simple partial equilibrium consumer theory model to explore the implications of high LTV borrowing. We find that sufficiently large expected house price growth leads to an upward‐sloping budget line when households can obtain high LTV mortgages. In this environment, the demand for housing fits neither the conventional theories of consumer goods nor that of investment goods. In fact, increases in the expected future price of housing may reduce current housing demand, whereas decreases in the effective (current) price may lead to households buying smaller homes. Moreover, high LTV loans reduce the effectiveness of monetary policy, but raise the volatility of aggregate demand. Tighter borrowing standards may help lower demand volatility at the expense of shrinking the economy. (JEL E21, R21, E52)     

What drives housing dynamics in China? A sign restrictions VAR approach

We study housing dynamics in China using vector autoregressions identified with theory-consistent sign restrictions. We study seven potential drivers: (1) population increases; (2) a relaxation of credit standards, for example, due to the shadow banking system; (3) increasing preferences towards housing, for example, due to a housing bubble, or to housing being a status asset in the marriage market; (4) an increase in the savings rate; (5) expected productivity progress; (6) changes in land supply; and (7) tax policy, a proxy for policy stimulus. Our results show that, even if all shocks play relevant roles, productivity, savings glut, and policy stimulus have been the dominant drivers. When the sample is closer to 2014, housing preferences and credit shocks increase their importance to explain house prices and volume, while population shocks explain a larger share of the dynamics of residential investment. The results show some differences if we use house price indices constructed by the government or by private sources. The official indices show smaller increases in house prices and assign a smaller role to credit and preference shocks.     

论住房的刚性需求

住房刚性需求是需求收入弹性较大而价格弹性较小的具有一定购买力的消费性需求。在刚性需求内部具有不同级别的"刚性",刚性渐减的顺序是货币化的拆迁性需求、婚房需求、改善型需求。对于不同性质的城市,其住房刚性需求是不同的,政治性城市住房刚性需求比较大,开放性城市刚性需求变化较大;在现阶段,由于房价财富幻觉导致了刚性需求加速效应和叠加效应。制度变迁、房价和收入都是影响住房刚性需求的重要因素。     

The transmission of financial shocks in an estimated DSGE model with housing and banking

We develop a dynamic stochastic general equilibrium (DSGE) model with housing and banking to study the transmission of financial shocks between the financial and real sectors. A deterioration in the bank's balance sheet induced by financial shocks could have amplified and persistent impacts on real activities. The amplification of the shocks are originated from financial frictions tied to households and banks. We find that a disruption in bank net worth initiated by capital quality shocks generates a decline in household loans, house prices and output. Bank liquidity shocks also have negative effects on these variables. Housing preference shocks could generate a positive comovement between house prices and output. All these findings are qualitatively consistent with empirical evidence, suggesting that these financial shocks are critical to the dynamics of house prices and other macroeconomic variables.     

Expectations and the housing market: A model of house price dynamics

We examine the characteristics of housing markets under adaptive and heterogeneous expectations. Model agents have finite horizons, and their borrowings are constrained by the collateral value of housing stock. Our model shows that expectation-driven housing price dynamics constantly change the direction of movement. The steady-state process of housing prices follows an endogenous oscillation process, and the magnitude of the cycles can be amplified by external shocks. Our quantitative results imply that (i) short-term positive and long-term negative serial correlations in housing price changes are inherent, (ii) house prices and expected house price movements are positively correlated, and (iii) fluctuations in housing prices are not fully explained by fundamentals.     

A national or local phenomenon? A comparison of the US and the Chinese housing markets

This article investigates the common movements of house prices across cities as well as the macroeconomic underpinnings of the comovements in the US and China. Our empirical results indicate more differences than similarities between the US and the Chinese housing markets. The results from a Bayesian dynamic latent factor model indicate that the fluctuations of house prices across cities in the US are more a national phenomenon, while the dynamics of house prices across cities in China are mainly driven by the city-specific component. We further use VAR models to compare the roles of the underlying determinants in these two housing markets. The results show that the roles of monetary policy shocks and aggregate fluctuations in driving the common movements of house prices across cities differ substantially between the US and China at both short and long horizons.     

Wage bargaining and shock sensitivity of a small open economy

This paper analyzes the effects of centralized bargaining over a nominal wage (indexation) rule on a small open economy with fixed exchange rates. It is shown that the relative bargaining power of the confederation of employers and the union, respectively, affects not only the level of the endogenous variables but also their reaction to exogenous disturbances. If the union's power exceeds a critical value, positive aggregate demand shocks increase unemployment since the actual nominal wage rises more than the market clearing one. Moreover, if the union's power is sufficiently close to its upper bound, the overreaction of wages becomes so large that positive aggregate demand shocks even lead to a decrease in output and employment, i.e., the multipliers become negative.     

CREDIT,HOUSING COLLATERAL,AND CONSUMPTION: EVIDENCE FROM JAPAN,THE U.K., AND THE U.S.

The consumption behavior of U.K., U.S., and Japanese households is examined and compared using a modern Ando‐Modigliani style consumption function. The models incorporate income growth expectations, income uncertainty, housing collateral, and other credit effects. These models therefore capture important parts of the financial accelerator. The evidence is that credit availability for U.K. and U.S., but not Japanese, households has undergone large shifts since 1980. The average consumption‐to‐income ratio rose in the U.K. and U.S. as mortgage down‐payment constraints eased and as the collateral role of housing wealth was enhanced by financial innovations, such as home equity loans. The estimated housing collateral effect is similar in the U.S. and U.K. In Japan, land prices (which proxy house prices) continue to negatively impact consumer spending. There are negative real interest rate effects on consumption in the U.K. and U.S. and positive effects in Japan. Overall, this implies important differences in the transmission of monetary and credit shocks in Japan versus the U.S., U.K., and other credit‐liberalized economies.     

HOUSING OVER TIME AND OVER THE LIFE CYCLE: A STRUCTURAL ESTIMATION

We construct a model of optimal life‐cycle housing and nonhousing consumption and estimate the elasticity between the two goods to be 0.487. The estimate is robust to different assumptions of housing adjustment cost, but sensitive to the choice of sample period and the degree of aggregation of data moments. We then conduct experiments in which house prices and household income fluctuate. Compared with the benchmark, the impact of the shocks on homeownership rates is reduced, but the impact on nonhousing consumption is magnified when housing service and nonhousing consumption are highly substitutable or when the house selling cost is sizable.     

When is market incompleteness irrelevant for the price of aggregate risk (and when is it not)?

In a standard incomplete markets model with a continuum of households that have constant relative risk aversion (CRRA) preferences, the absence of insurance markets for idiosyncratic labor income risk has no effect on the premium for aggregate risk if the distribution of idiosyncratic risk is independent of aggregate shocks and aggregate consumption growth is independent over time. In equilibrium, households only use the stock market to smooth consumption; the bond market is inoperative. Furthermore, the cross-sectional distributions of wealth and consumption are not affected by aggregate shocks. These results hold regardless of the persistence of idiosyncratic shocks, even when households face tight solvency constraints. A weaker irrelevance result survives when we allow for predictability in aggregate consumption growth.     

An alternative method for identifying booms and busts in the Euro area housing market

This article develops a model-based method to detect booms and busts in the Euro area housing market. A model is constructed and tested, whereby the user cost rate, a demographic variable, unemployment rate, disposable income, debt-to-income ratio and housing stock are fundamental variables significantly explaining house price (HP) developments. Booms/busts are identified as episodes when the HP index exceeds the levels implied by those economic fundamentals. Furthermore, a cross-check with boom/bust episodes based on other methods is carried out to substantiate the results, while the ability of the model in predicting booms/busts in real time is also tested.