Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment

This article considers the ability of large-scale (involving 145 fundamental variables) time-series models, estimated by dynamic factor analysis and Bayesian shrinkage, to forecast real house price growth rates of the four US census regions and the aggregate US economy. Besides the standard Minnesota prior, we also use additional priors that constrain the sum of coefficients of the VAR models. We compare 1- to 24-months-ahead forecasts of the large-scale models over an out-of-sample horizon of 1995:01–2009:03, based on an in-sample of 1968:02–1994:12, relative to a random walk model, a small-scale VAR model comprising just the five real house price growth rates and a medium-scale VAR model containing 36 of the 145 fundamental variables besides the five real house price growth rates. In addition to the forecast comparison exercise across small-, medium- and large-scale models, we also look at the ability of the ‘optimal’ model (i.e. the model that produces the minimum average mean squared forecast error) for a specific region in predicting ex ante real house prices (in levels) over the period of 2009:04 till 2012:02. Factor-based models (classical or Bayesian) perform the best for the North East, Mid-West, West census regions and the aggregate US economy and equally well to a small-scale VAR for the South region. The ‘optimal’ factor models also tend to predict the downward trend in the data when we conduct an ex ante forecasting exercise. Our results highlight the importance of information content in large number of fundamentals in predicting house prices accurately.     

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.     

金融冲击与房地产市场波动*——一个宏观分析框架及中国的经验证据

本文从总量宏观分析的视角,提出了金融变量与房地产市场的“总体冲击—传导机制”假说,据此用中国的数据构建金融状况指数（包含房价的FCI1和不包含房价的FCI2）,再对金融状况指数（FCI1和FCI2）与房地产指数做实证分析。研究发现,在资产价格中房价比股价更能反映一国的金融状况;在引入金融状况指数的金融变量中,利率与房价的相关性最强;房价和利率对总产出的影响周期更长。国房景气指数、房地产投资指数和房价指数对FCI冲击的响应显著,并存在不同的表现。由于房价对居民财富、金融状况和宏观经济的影响显著,货币政策理应干预房价,必须精准把握干预的时机和干预的力度以及注重多种货币政策工具的有效搭配使用。     

On the feasibility of monetary union: Does it make sense to look for shocks symmetry across countries when none of the countries constitutes an optimum currency area?

Usually, a monetary union is not considered feasible between countries if the correlations of shocks are positive but weak. This may not be so if the country with the larger output gap converges to full-employment equilibrium faster than the country with the smaller gap. We argue that common monetary policy can be destabilizing when countries' responses to non-monetary shocks are perfectly symmetric with a correlation of 1 but exhibit differing investment sensitivities to the real interest rate. We use Canada, Mexico and the United States to test the feasibility of a monetary union by documenting whether: 1) gross investments in Canada and Mexico are equally responsive to the real fund rate, and 2) Canada and Mexico's output growth and inflation respond differently to US monetary policy shocks and oil price shocks. This approach implicitly dictates whether the shocks themselves are symmetric or asymmetric. Using quarterly data and SVAR methodology, we conducted two layers of analysis. We estimated SVARs for the periods 1970–2008, 1970–1990 and 1991–2008 to find that a monetary union is feasible between Canada and the US for the first two sample periods. For Canada and Mexico, we find similar responses of output growth to US monetary policy shocks. We conducted further robustness tests by estimating two identified VARs with common US variables and oil prices for Canada and Mexico to assess commonality in responses to shocks with the US. These results affirm that a monetary union is also feasible between Canada and the US.     

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.     

THE AGRICULTURAL TERMS OF TRADE IN BANGLADESH: AN ECONOMETRIC ANALYSIS OF TRENDS AND MOVEMENTS, 1952–2006

This paper investigates the trends and movements of agricultural prices, industrial prices and the agricultural terms of trade in Bangladesh with annual data for the period 1952–2006. The ADF and KPSS tests results suggest that both agricultural and industrial prices have a unit root while the agricultural terms of trade is trend-stationary. These results remain unchanged if allowance is made in the unit root test for the possibility of a structural break during 1971–1975 (when Bangladesh gained independence from Pakistan and experienced economic shocks) by applying the two-step procedure of Perron (1989 ). A simple Nerlovian agricultural price determination model is specified within the framework of aggregate demand and aggregate supply. The Johansen cointegration test results for the periods 1953–2006 and 1973–2006 suggest that there exists a cointegral relationship between agricultural prices, industrial prices, per-capita real income and the real exchange rate between the Bangladeshi taka and the US dollar under the restriction that per-capita real income and the real exchange rate are 'long-run forcing variables' in the sense of Pesaran and Shin (1995 ), and Pesaran, Shin and Smith (1996 ). The paper estimates a four-variable vector error-correction (VEC) model and conducts an impulse response analysis for the post-independence period, 1973–2006.     

Home bias, distribution services and determinants of real exchange rates

This paper examines empirically how exogenous changes in the terms of trade affect the real exchange rate through the relative price of traded goods with Canada–US data. The relative price of traded goods is constructed using prices at the dock and retail prices. The first measure emphasizes the importance of home bias in consumption of traded goods. The second measure highlights the importance of distribution services required for consumption of traded goods. It is found that terms of trade shocks affect the relative price of traded goods using both measures. A possible interpretation of empirical findings is that home bias and distribution services are important for understanding the relative price of traded goods.     

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.     

Credit constraints,inelastic supply,and the housing boom

In this paper, I develop a dynamic general equilibrium model to study the sensitivity of house price changes with respect to credit constraints. I find that house prices are sensitive to changes of the down payment requirements if owner-occupied houses and rental houses are inelastically supplied. I then use the model to evaluate the housing boom during the 1995–2005 time period. I find that, under the assumption that owner-occupied housing and rental housing cannot be converted to each other, the increase in real household income and the decline in down payment requirements can explain a large fraction of the observed house price and price–rent ratio changes during the 1995–2005 time period. However, the model fails to match the interest rate changes during the 1995–2005 period.     

The (Q,S,s) pricing rule: a quantitative analysis

Are nominal prices sticky because menu costs prevent sellers from continuously adjusting their prices to keep up with inflation or because search frictions make sellers indifferent to any real price over some non-degenerate interval? The paper answers the question by developing and calibrating a model in which both search frictions and menu costs may generate price stickiness and sellers are subject to idiosyncratic shocks. The equilibrium of the calibrated model is such that sellers follow a (Q,S,s) pricing rule: each seller lets inflation erode the effective real value of the nominal prices until it reaches some point s and then pays the menu cost and sets a new nominal price with an effective real value drawn from a distribution with support [S, Q], with s < S < Q. Idiosyncratic shocks short-circuit the repricing cycle and may lead to negative price changes. The calibrated model reproduces closely the properties of the empirical price and price-change distributions. The calibrated model implies that search frictions are the main source of nominal price stickiness.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

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.     

Asset prices, exchange rates and the current account

This paper analyses the role of asset prices in comparison to other factors, in particular exchange rates, as a driver of the US trade balance. It employs a Bayesian structural VAR model that requires imposing only a minimum of economically meaningful sign restrictions. We find that equity market shocks and housing price shocks have been major determinants of the US current account in the past, accounting for up to 30% of the movements of the US trade balance at a horizon of 20 quarters. By contrast, shocks to the real exchange rate have been less relevant, explaining about 9% and exerting a more temporary effect on the US trade balance. Our findings suggest that large exchange rate movements may not necessarily be the key element of an adjustment of today's large current account imbalances, and that in particular relative global asset price changes could be a potent source of adjustment.     

A bank lending channel or a credit supply shock?

Shifts in credit supply could have a bearing on house prices e.g. through financial innovations and changes in regulation independently of the existence of a bank lending channel of monetary policy. This paper assesses the responses of US house prices to an exogenous credit supply shock and compares them with the effects from variations in credit supply associated with a bank lending channel. The contribution of the study is twofold. First, innovations in credit supply are identified using a mortgage mix variable, thereby accounting for the market-based financial intermediaries. As a robustness check a survey variable of bank lending standards for mortgage loans is also used. Second, the policy-induced credit supply effect on house prices is disentangled and compared with the effect from an exogenous credit supply shock. It is shown that in the first 3 years credit supply shocks affect house prices exogenously rather than through the bank lending channel. Monetary policy has still a large impact on house prices, even when the bank lending channel is ‘turned off’.     

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 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.     

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.     

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.     

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.     

Profitability and supply price in the US domestic oil industry: implications for the political economy of oil in the twenty-first century

In May 2001, the US Government's National Energy Policy DevelopmentGroup proposed to increase investment in domestic oil resourcesand to diversify further the sourcing of US oil imports by increasingproduction in new petroleum provinces. The paper argues thatboth strands of this policy are dependent upon a third, unstated,objective—to ensure that OPEC retains sufficient marketpower to prevent the sort of collapse in world oil prices thatoccurred in 1998–99. The consequences of that collapse,when the real price of US oil fell to its lowest level in 53years, are explored. Finally, it is argued that the outcomeof the crisis was a rapprochement between OPEC and the US. Itis suggested that the consensus between the US and OPEC as tothe desired range within which the world oil price should moveis likely to survive any temporary political disturbances.