Monetary policy transmission in a model with animal spirits and house price booms and busts

Can monetary policy trigger pronounced boom-bust cycles in house prices and create persistent business cycles? We address this question by building heuristics into an otherwise standard DSGE model. As a result, monetary policy sets off waves of optimism and pessimism (“animal spirits”) that drive house prices, that, in turn, have strong repercussions on the business cycle. We compare our findings to a standard model with rational expectations by means of impulse responses. We suggest that a standard Taylor rule is not well-suited to maintain macroeconomic stability. Instead, an augmented rule that incorporates house prices is shown to be superior.     

Quantitative easing and the loan to collateral value ratio

We study optimal monetary policy in a New Keynesian model at the zero bound interest rate where households use cash alongside house equity borrowing to conduct transactions. The amount of borrowing is limited by a collateral constraint. When either the loan to value ratio declines or house prices fall, we observe a decrease in the money multiplier. We argue that the central bank should respond to the fall in the money multiplier and therefore to the reduction in house prices or the loan to collateral value ratio. We also find that optimal monetary policy generates a large and persistent fall in the money multiplier in response to the drop in the loan to collateral value ratio.     

Risk shocks and housing supply: A quantitative analysis

This paper analyzes the role of stochastic uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production and provide estimates of the time-series properties of risk shocks by using firm level productivity data. The analysis demonstrates that risk shocks to the housing production sector are a quantitatively important impulse mechanism for understanding housing price movements. Specifically, the model can match the volatility of housing prices observed in the data. It is also demonstrated that adjustment costs are important in replicating the contemporaneous correlation of housing prices with GDP and residential investment. Critically, bankruptcy costs act as an endogenous markup factor in housing prices and are an important determinant of house price volatility. However, in comparison to housing demand shocks, risk shocks have low explanatory power for real quantities.     

Role of credit and monetary policy in determining asset prices: Evidence from emerging market economies

We examine the relative dominance of credit and monetary policy shocks in influencing asset prices in emerging markets. Estimates from panel VAR models for 22 EMEs provide evidence of a significant impact of bank credit on house prices in contrast to trivial impact on stock prices, possibly due to prudential regulations on banks’ exposure to stock markets. Contractionary monetary policy triggers sizeable and persistent decline in stock than housing prices as higher interest rates may render the funding of leverage costlier. Global shocks play an important role in explaining fluctuations in domestic stock prices rather than house prices since the latter class of asset is largely non-tradable across countries.     

财政货币政策、房价波动与宏观杠杆——基于信心传导机制的分析

利用市场主体信心的微观调查数据,借助仿真情景模拟下的反事实实验方法对信心能否在财政政策和货币政策调控杠杆与房价的过程中发挥作用进行实证分析,而后利用TVP-VAR模型对其内在机制展开深入探讨。研究表明,当信心被虚拟冲击抵消后,政策效果与基准结果呈现明显分化。即信心能够显著影响财政货币政策对杠杆与房价的作用效果,且经进一步实证分析得知信心正向影响于房价、负向影响于宏观杠杆。因此,政府在实施政策调控时,应注意市场预期的引导,在借助信心渠道强化房价调控政策效果的同时,也要关注信心对杠杆调控政策效果的干扰,并注意政策制定的连贯性与稳定性,以及财政货币政策的协调搭配。     

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 .

     

限购政策对城市住房市场的调控效应分析——以天津市为例

为评估限购政策对城市住房市场的调控效应,借助灰色系统理论的灰色关联分析法构建数学模型,以天津市为例,对限购政策实施前后城市住房市场的变动情况进行了比较分析。结果显示,与限购政策实施前相比,天津市的住宅现房销售面积、住宅期房销售面积在时间上均出现了明显的滞后;住宅施工面积在时间上则未明显的变化;住宅投资完成额和住宅新开工面积在时间上则有少许提前。由此可以认为,限购政策的实施引起了住房市场供需双方行动方向的分异,降低了需求者群体的住房需求量,加快了供应者群体的供应速度,增加了市场住房供应量。     

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.     

Residential investment and recession predictability

We assess the importance of residential investment for the prediction of economic recessions for an unbalanced panel of 12 OECD countries over the period 1960Q1–2014Q4. Our approach is to estimate various probit models with different leading indicators and evaluate their relative prediction accuracies using the area under the receiver operating characteristic curve as our forecasting performance metric. We document that residential investment contains information that is useful for predicting recessions both in-sample and out-of-sample. This result is robust to adding typical leading indicators, such as the term spread, stock prices, consumer confidence surveys and oil prices. It is shown that residential investment is particularly useful for the prediction of recessions for countries with high home-ownership rates. Finally, in a separate exercise for the US, we show that the predictive ability of residential investment is — in a broad sense — robust to employing real-time data.     

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.     

凯恩斯假设下AD-AS模型的比较静态分析

在凯恩斯假设下的AD-AS模型是一个静态分析模型,文章在假设下,讨论了财政政策和货币政策对产出和价格、利率和投资的影响,分析结果表明:财政政策和货币政策对产出水平和劳动力市场的失业率具有直接的影响,结果同的假设下的分析结果相同,不过变动幅度同以上不同。     

Household location in a linear multi-center metropolitan area

The application of monocentric models of residential location to the analysis of metropolitan areas with more than one center of economic activity, produces a distorted view of the spatial distribution of urban variables such as land values, housing prices, etc. This distortion results from the fact that monocentric models tend to underestimate the values of these variables in areas lying between the centers, and yield wider residential areas toward the outskirts of the city. In this paper, a model of household location is developed, which attempts to correct this distortion by simultaneously considering the urban centers during the residential location process.     

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.     

Supply constraints and housing market dynamics

Although the volatility of house prices is often ascribed to demand-side factors, constraints on housing supply have important and little-studied implications for housing dynamics. I illustrate the strong relationship between the volatility of house prices and the regulation of new housing supply. I then employ a dynamic structural model of housing investment to investigate the mechanisms underlying this relationship. I find that supply constraints increase volatility through two channels: First, regulation lowers the elasticity of new housing supply by increasing lags in the permit process and adding to the cost of supplying new houses on the margin. Second, geographic limitations on the area available for building houses, such as steep slopes and water bodies, lead to less investment on average relative to the size of the existing housing stock, leaving less scope for the supply response to attenuate the effects of a demand shock. My estimates and simulations confirm that regulation and geographic constraints play critical and complementary roles in decreasing the responsiveness of investment to demand shocks, which in turn amplifies house price volatility.     

An empirical model of the market for resale homes

A model of the search process for a house is formulated, where both buyers and sellers are permitted adaptively to alter reservation prices. Houses on the market in a given period are sold or withdrawn or search for a buyer is continued. The empirical predictions are examined for single-family residential homes.     

Capital,credit constraints and the comovement between consumer durables and nondurables

Evidence indicates that consumer durables are more flexibly priced than nondurable goods and services. In otherwise standard two-sector neoclassical sticky-price models with flexible durable prices, following monetary tightening, nondurables decrease but consumer durables increase. Friction in lending between households can resolve the comovement problem if durable prices are sticky. However, if durable prices are flexible, friction in lending fails to generate joint decline. This paper resolves the co-movement problem by adding capital into a model with flexible durable prices and friction in lending. When capital is needed in production, monetary tightening reduces the relative price of durables which induces investment and decreases firms' real profits in the short run. Due to fewer profits remitted from firms, savers have a lower disposable income and cannot increase expenditures on consumer durables as much as otherwise. As a consequence, aggregate consumer durables decrease and there is a joint decline of nondurables and consumer durables.     

Daily House Price Indices: Construction,Modeling, and Longer‐run Predictions

We construct daily house price indices for 10 major US metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat‐sales method that closely mimics the methodology of the popular monthly Case–Shiller house price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of longer‐run monthly house price changes that are superior to various alternative forecast procedures based on lower‐frequency data. Copyright © 2015 John Wiley & Sons, Ltd.     

Monetary policy and asset prices in an open economy

This paper examines whether central banks should respond to asset price fluctuations in a two-country sticky price model. We compare a monetary policy rule that targets both domestic asset prices and foreign asset prices with several alternative monetary policy rules. This paper shows that this policy rule can produce preferable outcomes because the domestic central bank incorporates important information that both domestic and foreign asset prices possess into its monetary policy. Our model suggests that central banks should consider both domestic and foreign asset prices in a two country framework with asset price fluctuations.     

Monetary policy,asset prices and consumption in China

This paper studies the wealth channel in China. Although the wealth channel has been found to be functioning in many advanced countries, its existence is yet to be explored in most emerging economies, also in China. In order to illuminate dynamics between monetary policy, asset prices and consumption, we use the structural vector autoregression method. The findings support the view that a loosening of China's monetary policy does indeed lead to higher asset prices. Furthermore, a positive shock to residential prices increases household consumption, while the role of stock prices seems to be small from the households’ point of view. Finally, we test the existence of the wealth channel more formally to find out whether those changes in asset prices that are caused by monetary policy are significant enough to increase consumption. In summary, the wealth channel remains weak but there are some signs of it via residential prices. The results are not that different from those attained for the advanced economies, where the size of the wealth channel has been found to be limited.     

Housing prices and macroprudential policies: Evidence from microdata

This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country like India, utilizing two novel databases on city-level house prices in India. Though the empirical models provide evidence of a sizable effect of the fundamental factors in influencing house price dynamics, they also reveal strong countercyclical properties of macroprudential tools i.e., loan-to-value (LTV) limit, risk weights, and provisioning requirements, in influencing housing price movements. Among the macroprudential policy tools, the LTV limit emerges as the most potent one in influencing the price dynamics. A granular investigation of the effectiveness of macroprudential tools suggests that the countercyclical effect of the regulatory ratios for large-sized mortgages is much stronger as compared with those for the small-sized mortgages, attributed mainly to investment motives associated with the large-sized loans. We also find the presence of asymmetry in the impact of loosening versus the tightening of the LTV limit, which can be attributed to the procyclical behavior of the house prices.