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 Influence of Reference Group House Size on House Price

This article examines the effect of a change in housing consumption of various reference groups on predicted own house price. I employ a spatial autoregressive model and find that an increase in average house size of the eight nearest neighbors and the largest houses in the district has a negative effect on predicted house price, whereas the effect of an increase in average house size of the further neighbors (9th through 16th neighbors) and the smallest houses in the district on predicted house price is positive. This suggests that the “envy effect” dominates with respect to the nearest and largest neighbors, whereas the “basking in the reflected glory” effect dominates with respect to the further smallest neighbors.     

Risk Segmentation of American Homes: Evidence from Denver

This article empirically examines the segmentation of house price risk across 99 ZIP‐code‐delineated neighborhoods in metropolitan Denver. The house price risk in each neighborhood is measured with the temporal variation of quarterly appreciation rates of the neighborhood house price index over the 2002–2007 period. Cross‐sectional regressions of neighborhood house price risk on the median household income and the percentage of population in poverty from the 2000 census data for the same neighborhoods provide strong evidence that the house price risk is significantly higher in low‐income/poor neighborhoods. Subperiod analyses further indicate that the risk segmentation exists in both a booming period (pre 2005:2) and a busting period (post 2005:3). The results indicate that homeownership can be a much riskier investment for low‐income/poor households.     

Big House, Little House: Relative Size and Value

How do markets value relative house size in a neighborhood? The literature offers differing rationales: atypical houses sell for less, capitalization of property taxes penalizes larger and benefits smaller houses in mixed neighborhoods and conspicuous consumption reinforces the value of relatively larger houses and reduces the value of relatively smaller houses to consumers. Using a simultaneous price‐liquidity model that controls for neighborhood supply and demand conditions, this article finds a dominant tax capitalization effect on price and marketing time that appears to override any extant atypicality or conspicuous consumption effects.     

The Measurement and Determinants of Single-Family House Prices

We assess the conceptual and empirical features of a number of house price series for the United States. We then calculate a measure of the net up-grading of the existing stock of houses that took place during the 1950–1989 period and adjust price indexes for this net increase in quality. Judgments about the trend, volatility, and determinants of house prices are shown to depend crucially on which price series is used. The Freddie Mac upgrade-adjusted house price measure rose 5.7% over the past four decades, falling 7.7% from 1950 through 1970 before rising 14.5% from 1970 through 1989. Real house prices declined in the early 1980s due to the increase in real after-tax interest rates and the decline in real materials costs. The recovery of house prices in the late 1980s is attributed to lower unemployment and real after-tax interest rates and particularly to demographic factors associated with the aging of baby boomers.     

House Price Changes and Idiosyncratic Risk: The Impact of Property Characteristics

Although the average change in house prices is related to changes in fundamentals or perhaps market-wide bubbles, not all houses in a market appreciate at the same rate. The primary focus of our study is to investigate the reasons for these variations in price changes among houses within a market. We draw on three theories for guidance, one related to the optimal search strategy for sellers of atypical dwellings, another focusing on the bargaining process between a seller and potential buyers and the third relying on the concept of land leverage. We hypothesize that houses will appreciate at different rates depending on the characteristics of the property and the change in the strength of the housing market. These hypotheses are supported using data from three New Zealand housing markets.     

Why Do Vacant Houses Sell for Less: Holding Costs,Bargaining Power or Stigma?

This article introduces Nash bargaining into a search model to identify various channels through which vacancy affects selling price and liquidity in the resale market for houses. The model shows the various vacancy effects in the form of greater seller holding cost, lower seller bargaining power and unobserved negative attributes or stigma. We use a 20‐year data series on house transactions to test for these effects in a simultaneous model of price and liquidity, using the long data series to allow for variation across market phases. The robust vacancy effects on price and liquidity across all market phases primarily reflect greater seller holding cost and diminished bargaining power. Repeatedly, vacant houses also exhibit significant stigma effects in the rising market but not in stable or declining market phases. At the same time, vacant houses enjoy stronger shopping externality effects from surrounding houses for sale than do their occupied counterparts.     

The Accuracy of Owner-Provided House Values: The 1978–1991 American Housing Survey

The American Housing Survey (AHS) includes the owner's valuation of the house as a measure of the house's value. If owner-stated values are accurate, the AHS (as well as other survey instruments) can be used by researchers studying a variety of topics. In this study we use the metropolitan version of the AHS for three cities over fourteen years to compare owners' valuations with sales prices of houses that sold in the twelve months prior to an interview. We find that, on average, recent buyers report house values that are 8.4% higher than the stated sales prices. Further analysis indicates that these recent buyers, when compared with owners with longer tenure, overvalue their houses by 3.3%, on average. Thus, we find that the average owner overvalues his house by 5.1%. Also, differences between sales prices and owners' valuations are not related to particular characteristics of the house, occupants (other than length of tenure), or neighborhood. Thus, the use of the owners' valuations will result in accurate estimates of house price indexes and will provide reliable estimates of the prices of house and neighborhood characteristics.     

Deed Types, House Prices and Mortgage Interest Rates

When houses are sold they come with a deed attached that spells out the legal guarantees on good title. Some deeds give clues about the characteristics of the seller or the house. Using a 37,043-observation house price hedonic with a Bayesian spatial error model, we find the type of deed attached to a housing sale can have a dramatic correlation with the sale price. Ten deed types command a discount, and one commands a premium relative to warranty deeds. Mortgage rates for sheriff's deeds and foreclosure deeds are lower than for warranty deeds, indicating more sophisticated buyers.     

Search and Liquidity in Single-Family Housing

A two-stage least squares model of housing prices is estimated with data collected from 3358 single-family home transactions. The results provide evidence for an optimal marketing period and indicate that a liquidity premium is priced in single-family home sales. Consistent with the hypothesis derived from economic search models, the model shows higher selling prices for houses having longer expected marketing periods. The model also shows a price premium for houses that sell faster than expectations. This effect supports the concept that liquidity is a value-enhancing characteristic.     

Local House Price Dynamics: New Indices and Stylized Facts

We introduce the first publicly available data set of constant‐quality house price indices for counties, ZIP codes and census tracts in the United States, at an annual frequency, over a 40‐year period. Between 1990 and 2015, house price gradients within large cities steepen, documenting a reversal of decades of increasing relative desirability of suburban locations. Real house prices are more likely to be nonstationary near the centers of large cities. Within‐city differences in house price appreciation at the ZIP code level are, on average, about half of between‐city differences, though this ratio varies depending on the time period and city size.     

当代美国住宅的思考

美国2000年新建住宅投资4251亿美元，占固定资产投资的21．3％；住宅直接消费为9588亿美元，占GDP的9．71％；年存量住宅为1．16亿套(户)，空置率为5．9％。购买新房一般中值价为80美元／ft^2，一套住宅(2000ft^2)中值房价为16万美元；按中值计算贷款购房的支出与收入比为1：4．7；在美国仍有3500万户居民租用住宅。     

The Spatial Proximity of Metropolitan Area Housing Submarkets

An important question related to housing submarket construction is whether geographic areas must be spatially adjacent in order to be considered the same submarket. Housing consumers do not necessarily limit their search to spatially concentrated areas and may search similarly priced neighborhoods located throughout a metropolitan area when making housing consumption decisions. This article examines two alternative procedures for delineating submarkets: one that combines adjacent census block groups into areas with enough transactions to estimate the parameters of a hedonic house price equation and a second that permits spatial discontinuities in submarkets. The criterion used to evaluate the alternative techniques is the accuracy of hedonic house price predictions.     

House Search Duration in Hot and Cold Residential Markets

This study analyzes the determinants of house search duration of consumption‐driven buyers and individual investors in different housing market environments. We use data from surveys of recent house‐buyers in “hot” and “cold” housing markets in the 2000s housing bubble in California characterized by rising and declining residential house prices, respectively. The average house price and the surveyed geographical area are the same for both periods. Expected house ownership horizon is shown to be an important determinant of the realized search duration in addition to commonly considered housing and buyer characteristics. We find a statistically significant positive effect of it on the time until purchase in both housing price environments for consumption‐driven buyers. We also find that consumption‐driven house purchases were highly pronounced in coastal areas in the hot market and inland areas in the cold market. In contrast, long‐horizon investment activity leads that of consumption activity in those areas. Short‐horizon investors, on the other hand, concentrated their house search activity in inland areas in both housing market environments.     

Why are REITS Currently So Expensive?

Over the last several years, the price of listed real estate stocks has been unusually high relative to dividends. I find that neither low interest rates nor low risk premia can account for the high valuation ratios. Lower interest rates have been offset by rising risk premia to keep expected returns close to average. Instead, the market has priced in future income growth on commercial properties far above the growth rates seen in the data. High implied growth rates are less extreme for nontraditional REIT sectors. Income growth expectations are also less extreme for international listed real estate.     

完善我国住房保障制度的思考

面对广大中低收入的收入与目前急速上涨的房价之间的差距，住房保障体系建立和完善的要求日益突出，通过对各国和地区住房保障制度进行比较分析，提出了进一步加强和完善住房保障体系的建议。     

The Adjustable Balance Mortgage: Reducing the Value of the Put

We propose a new mortgage contract that endogenously captures the risk of house price declines to minimize default risk resulting from changes in the underlying asset value while still retaining contract rates near the cost of a standard fixed‐rate mortgage. By reducing the role of the legal system in mitigating house price risk, the new mortgage reduces the negative externalities and social costs arising from defaults. In other words, the new mortgage minimizes the need to use the legal foreclosure system to deal with the economic risk of house price declines.     

Oil Prices and Urban Housing Demand

We develop a model of a monocentric, oil‐exporting city. The model predicts a “twist” (rotation combined with a level shift) of the house price gradient with an oil price change due to the combined producer price and transportation cost effects. Empirical findings support the predictions, with house price changes positively linked to the price of oil in cities specialized in oil and gas‐related industries, and negatively linked in suburban areas of all cities. These results quantify the large and differential risks to house prices associated with oil price changes both within and across cities. Overall, estimates suggest a 50% change in the price of oil results in a city‐wide house price change of 15% over five years in a city specialized in the production of oil (export employment share of 50%), whereas house prices for units greater than 15 miles from the city‐center change in relative terms by ?1.5% over the same period.     

Discount Brokerage in Residential Real Estate Markets

Transaction costs are thought to affect asset prices and market liquidity, but the direction and magnitude of these effects continue to be the subject of debate. In the single‐family residential market, discount brokers offer to list a house for a lower price and thus reduce the transaction costs associated with obtaining a match. In this article we obtain empirical estimates of the price and liquidity impact of a seller selecting a discount broker to market a single‐family residential property. The unique data set allows for the identification of residential properties that were listed by a discount brokerage firm. The empirical results confirm the predictions of our theoretical model. Using a sample of 318,221 listings and 243,625 sales, we find that houses listed by discount brokers sell at prices similar to non‐discount brokerage listings, but are less likely to sell, and when they do sell, take approximately three days longer to sell. The results indicate that lower transaction costs do not impact housing prices in this market, but that they are related to asset liquidity.     

The Impact on Housing Values of Restrictions on Rights of Ownership: The Case of an Occupant's Age

With the exception of anecdotal information, little is known about the specific effects on the value of a house because its ownership is restricted to people older than a certain age. This article provides an empirically-derived assessment of the impact on the selling price of single-family residences when their ownership is age restricted. To determine the effect on the sales price of age-restricted houses, a standard hedonic pricing model is applied to a sample of 371 sales transactions drawn from a suburban area of a large city. The results indicate that an age restriction placed on houses decreases their value by 6%. This finding may be of interest to local land-use regulators, developers who are considering developing age-restricted houses and appraisers who wish to make value adjustments to these homes.