–Nonrecourse Mortgage and Housing Price Boom,Bust, and Rebound

This paper investigates the impact of –nonrecourse vs. recourse mortgages on housing price dynamics in major U.S. metropolitan statistical areas for the period from 2000 to 2013. We find evidence that –nonrecourse states experience faster price growth during the boom period (2000–2006), a sharper price drop during the bust period (2006–2009) and faster price recovery in the rebound period after a crisis (2009–2013). Moreover, the volatility of housing prices is higher in nonrecourse states than in recourse states, particularly during the rebound period.     

Housing Price Volatility Changes and Their Effects

We examine significant volatility shifts in regional housing price changes, adapting a method of Haugen, Talmor and Torous (1991) independent of predefined sampling blocks. We identify 36 volatility events, most of which are purely regional, but three of which are national. We find significant associations of volatility events and economic conditions, especially national and regional income growth, inflation, and interest rates. During an initial adjustment period after a volatility shift, realized housing returns move opposite to volatility. We find evidence of significant interregional diffusion of volatility increases, but not of decreases. New insights on links between economic conditions and housing volatility and returns should be of value to household investors and mortgage investors.     

Why Do Sellers Hold Out in the Housing Market? An Option‐Based Explanation

In the residential housing market, home owners are reluctant to sell in a declining market. We build a model which focuses on the embedded call option associated with home ownership that allows owners to delay the (irreversible) sale. When prices are low, the (opportunity) cost of a sale, i.e., a higher implied gain from a future sale, likely exceeds its immediate trade benefit and an owner is better off waiting for market conditions to improve. The model also highlights the importance of supply conditions: a more constrained supply is associated with a longer delay. Using state‐level residential housing data, we find evidence consistent with the model. Transaction volume is increasing (decreasing) in the rental growth rate (volatility) in the cross section; their effects are amplified in areas with low supply elasticities, and in times with low market prices. Overall, this paper provides a rational explanation for delayed trading decisions in the housing market.     

Risk and Return in the U.S. Housing Market: A Cross-Sectional Asset-Pricing Approach

This article carries out an asset-pricing analysis of the U.S. metropolitan housing market. We use ZIP code–level housing data to study the cross-sectional role of volatility, price level, stock market risk and idiosyncratic volatility in explaining housing returns. While the related literature tends to focus on the dynamic role of volatility and housing returns within submarkets over time, our risk–return analysis is cross-sectional and covers the national U.S. metropolitan housing market. The study provides a number of important findings on the asset-pricing features of the U.S. housing market. Specifically, we find (i) a positive relation between housing returns and volatility, with returns rising by 2.48% annually for a 10% rise in volatility, (ii) a positive but diminishing price effect on returns and (iii) that stock market risk is priced directionally in the housing market. Our results on the return-volatility-price relation are robust to (i) metropolitan statistical area clustering effects and (ii) differences in socioeconomic characteristics among submarkets related to income, employment rate, managerial employment, owner-occupied housing, gross rent and population density.     

Who benefits the most? Risk pooling in mortgage loan insurance: Evidence from the Canadian mortgage market

This article evaluates the effect of mortgage loan insurance (MLI), an essential macroprudential tool available to policy makers, on housing affordability, household leverage, and the overall welfare of the economy. A dynamic model of the housing market with heterogeneous households and competitive housing and mortgage markets is constructed and is calibrated to Canadian data. We find that relaxing the mandatory nature of MLI required for mortgages with a loan-to-value ratio of 80% or more, in favor of a counterfactual system where MLI reflects credit risks, dampens demand for housing to purchase and puts downward pressure on house prices. Some of the households with low income and low asset holdings can no longer afford a house; therefore, the aggregate homeownership rate drops. In contrast, demand for rental units increases and rents go up.     

Long‐Term Growth in Housing Prices and Stock Returns

A firm's long‐term stock returns are negatively related to past growth in housing prices in the state where the firm is located. The housing price effect is persistent and robust to controlling for the long‐term stock return reversal effect, changes in mortgage interest rates across the states, cyclicality in housing prices and overall local economic conditions. There is no evidence that extant asset pricing models can adequately explain the effect. The study discusses potential explanations for, and the implications of, the cross‐regional housing price effect.     

Time-varying connectedness of metropolitan housing markets

We construct a time-varying measure of connectedness for 382 U.S. metropolitan housing markets using monthly house price data from 1975 to the present. Housing connectedness in the long run is found to be much stronger than the instantaneous connectedness, both of which exhibit notable variation over time and across metropolitan areas. Unlike stock market connectedness, housing market connectedness leads the business cycle; it helps predict the likelihood of future recessions.     

基于Hedonic模型的小区房价影响因素研究——以南京市鼓楼区为例

从小区房价的微观影响因素出发,分别从建筑特征、邻里特征、区位特征三个方面确定了10个特征价格变量,运用定量和定性相结合的方法,构建影响南京市鼓楼区小区房价的特征价格模型,并对回归结果进行检验和分析。结果表明:建筑年代、容积率、交通干道等级是影响小区房价弹性的最大因素;主要街道等级是影响小区房价的最主要微观因素。希望通过本文研究给房地产开发商、政府、消费者等在决策和选择上提供借鉴。     

Revisiting the Past and Settling the Score: Index Revision for House Price Derivatives

This article examines index revision in measuring the prices for owner-occupied housing. We consider revision in the context of equity insurance and the settlement of futures contracts. The usefulness of aggregate housing price indexes in these contexts requires stability as they are extended. Methods that are subject to substantial revision raise questions about the viability of derivatives markets. We find that the most widely used house price indexes are not equally exposed to volatility in revision. Hedonic indexes appear to be substantially more stable than repeat-sales indexes and are not prone to the systematic downward revision found in the repeat-sales indexes.     

Estimating Bargaining Effects in Hedonic Models: Evidence from the Housing Market

Bargaining is common in markets for heterogeneous goods and differences in bargaining power between buyer and seller affect the negotiated transaction price. Previous research has found systematic evidence in the housing markets that weak buyers pay higher prices and weak sellers receive lower prices for their homes. Earlier work has modeled the bargaining effect as a parallel shift in the hedonic function, implicitly assuming that attribute shadow prices were unaffected by the bargaining process. In this paper, we use a sample of home sales where the seller's bargaining power is weakened by the fact that the home is vacant at the time of sale to test whether the effect of bargaining is best captured by a shift in the hedonic constant or whether the attribute shadow prices vary as well. The question is significant for property valuation where estimation of the marginal value of an attribute is commonly used to adjust comparable sales data. We find strong confirmation that bargaining power influences the negotiated price. We also find evidence that bargaining power alters attribute prices, although we do not find a consistent pattern across markets.     

Effects of Macroeconomic Uncertainty and Labor Demand Shocks on the Housing Market

This article shows that macroeconomic uncertainty affects the housing market in two significant ways. First, uncertainty shocks adversely affect housing prices but not the quantities that are traded. Controlling for a broad set of variables in fixed‐effects regressions, we find that uncertainty shocks reduce both housing prices and median sales prices in the amount of 1.4% and 1.8%, respectively, but the effect is not statistically significant for the percentage changes of all homes sold. Second, when both uncertainty and local demand shocks are introduced, the effects of uncertainty on the housing market dominate that of local labor demand shocks on housing prices, median sale prices, the share of houses selling for a loss and transactions. The aforementioned effects are largest for the states that exhibit relatively high housing price volatilities, suggesting real options effects in the housing market during the times of high uncertainty.     

The Effects of the Interstate Commerce Act on Transport Costs: Evidence from Wheat Prices

There is significant debate over the effect of the Interstate Commerce Act (ICA) on the cost of rail transport to shippers. Taking price differences across locations as proxy for transport costs, we use data on wheat prices before and after the implementation of the ICA to see if the Act led to smaller differences in wheat prices across American cities relative to a control group of European cities. We find that the ICA had no effect on US transport costs; however, it reduced their volatility substantially. This evidence supports the view that the ICA helped stabilize cartel prices after a period of significant price wars.     

The price effects of greening vacant lots: How neighborhood attributes matter

We identify the effects of greening vacant lots on nearby housing prices and show how neighborhood attributes matter to these outcomes. Using data from a longstanding program in Philadelphia, we find that prices for houses within 1,000 feet of a greened vacant lot rise by about 4%, consistent with the literature, with the effect size increasing over time. Using the extensive data available in Philadelphia, we show how these effects vary by the attributes of the neighborhood in which they occur, with larger effects in areas with a high share of vacant land and higher-than-average median household incomes, with peak responses estimated at 19% and 15%, respectively. We demonstrate the importance of sample selection bias adjustment for identification of the effect of vacant lot greening.     

Do House Price Levels Anticipate Subsequent Price Changes within Metropolitan Areas?

This research examines the relationship between hedonically controlled housing price levels and subsequent changes in those prices across locations within MSAs. Are areas with a high price relative to an “imputed rent” paying for higher appreciation? In an efficient market (e.g., Gordon Growth Model), as fundamentals (impute rent) differ across locations and change over time, anticipation of these should generate a positive correlation between (residual) price levels and subsequent price changes. We undertake these tests in four different MSAs using a panel of repeat‐sale house price indices that have been scaled to price levels with the hedonic attributes of the house and ZIP code. In three markets we find that identical houses in higher priced ZIP codes subsequently appreciate faster. In one market we find that there is little statistical difference.     

The heterogeneous impact of house purchase limits policy on housing prices: Comparison between elite and non-elite school district houses

The effectiveness of housing purchase limits policies has aroused heated debate, yet few discussed its impact on educational capitalization. We examine the heterogeneous effect of housing purchase limits policy on the price of elite school district houses (ESDH) and non-elite school district houses. By exploiting second-hand houses data in Hefei China, we find that the price of ESDH has increased greatly after the limitation, compared with non-elite school districts. Further we discover that the ESDH have lower depreciation risks, and their price is higher in neighborhoods with smaller dwelling area. Our finding indicates that the limits policy may have exacerbated the educational capitalization.     

Commodity price inflation, retail pass-through and market power

When commodity prices rise, wholesalers and retailers of products derived from basic commodities respond by passing along at least a portion of the price increase to consumers. In this paper we examine whether firms respond differently to positive commodity price shocks than to negative commodity price shocks; that is, whether commodity price volatility alters market power. We exploit recent volatility in food commodity prices over the period 2007-2010 to investigate how commodity price shocks translate into market power in two different vertically-structured food product industries: potatoes and fluid milk. For potatoes, we find both wholesale and retail market power decreases (increases) during periods of rising (falling) commodity prices. Moreover, price-cost margins widen a substantially greater degree in response to negative shocks than margins narrow in response to positive shocks, indicating that commodity price volatility increases market power. For fluid milk, we find that market power likewise declines during periods of rising commodity prices; however, market power does not significantly change during periods of falling commodity prices, suggesting that commodity price volatility decreases market power.     

基于进化博弈模型的我国成品住房推进工作研究

成品住房建设符合国家节能减排的政策方针,受到了各级政府的高度重视,但现阶段我国成品住房推进工作进展缓慢,毛坯房仍占据市场的主导地位.文章基于有限理性的假设,运用进化博弈理论构建了成品住房推进过程中开发商和消费者群体之间的复制动态模型,分析了不同情况下系统的进化稳定策略以及成品住房推进工作的动态进化路径,从而明确了影响成品住房推进工作的关键因素;在此基础上,从政府、开发商和消费者三方角度,提出了加快成品住房推进工作的对策建议.     

The Risk and Return of Commercial Real Estate: A Property Level Analysis

I compare the performance of the index‐based time series approach and the cross‐sectional approach in estimating factor loadings of nontraded assets, and show that the latter likely provides less biased and more efficient estimates. I then use the cross‐sectional approach to estimate the loadings of privately owned commercial real estate on the Fama and French (1993) factors, the Pastor and Stambaugh (2003) liquidity factor, and two bond market factors, using a sample of 14,115 properties in the 1977–2012 period. I find statistically significant loadings, of which the signs seem consistent across property types, but the magnitude varies. Using the time series approach on the same data, I find insignificant loadings on virtually all factors. To investigate the sources of the weak results from the time series approach, I conduct a Monte Carlo simulation in which both approaches are correctly specified and indices can be estimated perfectly. Simulation results suggest that the cross‐sectional approach provides more accurate estimates under reasonable market conditions.     

An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets

This research analyzes the dynamic properties of the difference equation that arises when markets exhibit serial correlation and mean reversion. We identify the correlation and reversion parameters for which prices will overshoot equilibrium ("cycles") and/or diverge permanently from equilibrium. We then estimate the serial correlation and mean reversion coefficients from a large panel data set of 62 metro areas from 1979 to 1995 conditional on a set of economic variables that proxy for information costs, supply costs and expectations. Serial correlation is higher in metro areas with higher real incomes, population growth and real construction costs. Mean reversion is greater in large metro areas and faster growing cities with lower construction costs. The average fitted values for mean reversion and serial correlation lie in the convergent oscillatory region, but specific observations fall in both the damped and oscillatory regions and in both the convergent and divergent regions. Thus, the dynamic properties of housing markets are specific to the given time and location being considered.