Sample Selection Approaches to Estimating and Allocating House Transaction Funding Price Differentials

The Journal of Real Estate Finance and Economics - This study examines house transaction price differentials observed among funding type combinations; accounting for potential sample selection and...     

Spatial Variation in Reverse Mortgages Usage: House Price Dynamics and Consumer Selection

Reverse mortgages have been obtained by nearly one million senior households. In the future, the number of eligible households will grow substantially, about 80 % are homeowners, and many of them have substantial equity in their home. We study state-level variations in rate of originations of HUD’s Home Equity Conversion Mortgage (HECM) product. Our focus is on the impact of house prices on the origination rate. We test the hypothesis that in states where real house prices are volatile and the current level is above the long term norm, seniors rationally anticipate future reductions in house prices and lock-in their housing equity gains by obtaining a reverse mortgage. We test alternative hypotheses, the first being that seniors living in states with high rates of house price appreciation increase their use of HECMs as a means to convert an illiquid wealth capital gain into a more liquid asset. A second alternative hypothesis is that the intertemporal changes in originations of HECMs were a result of changes in the supply of mortgage originators. Our empirical work supports the hypothesis that seniors used HECMs to insure against house price declines, but we find no evidence in support of the alternative hypotheses.     

Spatial Dependence and House Price Index Construction

Accurate estimation of prevailing metropolitan housing prices is important for both business and research investigations of housing and mortgage markets. This is typically done by constructing quality-adjusted house price indices from hedonic price regressions for given metropolitan areas. A major limitation of currently available indices is their insensitivity to the geographic location of dwellings within the metropolitan area. Indices are constructed based on models that do not incorporate the underlying spatial structure in housing data sets. In this article, we argue that spatial structure, especially spatial dependence latent in housing data sets, will affect the precision and accuracy of resulting price estimates. We illustrate the importance of spatial dependence in both the specification and estimation of hedonic price models. Assessments are made on the importance of spatial dependence both on parameter estimates and on the accuracy of resulting indices.     

Spatial and Temporal Dependence in House Price Prediction

This paper incorporates spatial and temporal dependence among housing transactions in predicting future house prices. We employ the spatiotemporal autoregressive model and structure the spatial and temporal weighting matrices as in Pace et al. (1998). We control for the time variation of both the attribute prices and the spatial and temporal dependence parameters through performing the analysis on an annual basis. Spatial heterogeneity is accounted for using experience-based definition of submarkets by real estate professionals. Using a comprehensive housing transaction data set from the Dutch Randstad region, we show that integrating the spatial and temporal dependence within the hedonic modeling improves the prediction power as compared to traditional hedonic model that neglects these effects.     

Spatial Dependence,Housing Submarkets,and House Price Prediction

This paper compares alternative methods of controlling for the spatial dependence of house prices in a mass appraisal context. Explicit modeling of the error structure is characterized as a relatively fluid approach to defining housing submarkets. This approach allows the relevant submarket to vary from house to house and for transactions involving other dwellings in each submarket to have varying impacts depending on distance. We conclude that—for our Auckland, New Zealand, data—the gains in accuracy from including submarket variables in an ordinary least squares specification are greater than any benefits from using geostatistical or lattice methods. This conclusion is of practical importance, as a hedonic model with submarket dummy variables is substantially easier to implement than spatial statistical methods.

An Intra-City Analysis of House Price Convergence and Spatial Dependence

The Journal of Real Estate Finance and Economics - This paper seeks to test the intra-city convergence of house prices using the comprehensive suburban house price and census data for a key...     

Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models

This research reports results from a competition on modeling spatial and temporal components of house prices. A large, well-documented database was prepared and made available to anyone wishing to join the competition. To prevent data snooping, out-of-sample observations were withheld; they were deposited with one individual who did not enter the competition, but had the responsibility of calculating out-of-sample statistics for results submitted by the others. The competition turned into a cooperative effort, resulting in enhancements to previous methods including: a localized version of Dubins kriging model, a kriging version of Clapps local regression model, and a local application of Cases earlier work on dividing a geographic housing market into districts. The results indicate the importance of nearest neighbor transactions for out-of-sample predictions: spatial trend analysis and census tract variables do not perform nearly as well as neighboring residuals.     

Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales

This paper describes the development of a house price index that has been introduced in May 2005 in The Netherlands. This monthly index, called Woningwaarde Index Kadaster (House Price Index Kadaster), is designed to detect changes in the price of the overall stock of owner-occupied homes. Fifty-five indices are calculated: one overall index, four regional indices, 12 provincial indices and 38 indices based on combinations of region/province and dwelling type. We used Case and Shiller’s geometric Weighted Repeat Sales Model to calculate monthly house price indices. We used recorded data on the sales of over 500,000 owner-occupied homes in The Netherlands, all representing repeat sales between January 1993 and December 2006. The accuracy of the index was determined using the 95% confidence interval. We observed that accuracy might become a problem in smaller sub samples. Revision volatility was explored by comparing the index values computed from all available data until December 2005 with the index values computed from the data available until December 2006. Our analysis showed that revision volatility does not seem to be a major problem to the index. We also explored heteroskedasticity in the Repeat Sales method but did not find conclusive evidence for the proposed heteroskedasticity. Given our target (a geometric mean index value) and the characteristics of the dataset (very large but without property characteristics) the Repeat Sales Method seems to be adequate for calculating a house price index for The Netherlands.

Cash Flow Volatility, Prices and Price Volatility: An Experimental Study

The value of an asset is equal to the present value of its expected future cash flows. It is affected by the magnitude, timing and riskiness, or volatility, of the cash flows. We hypothesize that if the expected values of two assets?? cash flows are equal, the value of the asset with more volatile cash flows will be lower. Furthermore, we examine the impact of the volatility of cash flows on the volatility of prices. We consider a simple experimental environment where subjects trade in an asset which provides dividends from a known probability distribution. The expected value of the dividends is identical in all experimental treatments. The treatments vary with respect to the volatility of dividends. We find that when dividends are more volatile, transaction prices are lower. We also find that the volatility of prices is lower in the treatment with highly volatile dividends. In addition, as expected, trading volume is lower when cash flows are less volatile.     

House Price and co-Residence with Older Parents: Evidence from China

Numerous Chinese families choose to reside together with their elderly parents due to the considerable impacts of conventional values such as filial duty in Chinese society. However, as house prices rocketed up in major Chinese cities over the past decade, this arrangement is facing a sizeable challenge, therefore also raising new research question about it. This paper attempts to investigate the phenomenon of co-residence of adult children with their elderly parents in China. Using the 2013 data of China Household Finance Survey (CHFS), we document that house price is indeed a significant determinant for the pattern of intergenerational co-residence. Our empirical results can provide interesting insights into the important implication of rising house price for household residential arrangements in this country.     

Local House Price Paths: Accelerations,Declines, and Recoveries

The Journal of Real Estate Finance and Economics - Mortgage credit risk measurement hinges on the choice of a house price stress path, which is used to project loan losses and determine financial...     

Foreclosure Sales: The Effects of Price Expectations, Volatility and Equity Losses

Where borrowers are personally liable for shortfalls when they default on their mortgages, lenders have to exercise a duty of good faith in securing a reasonable value for the foreclosed property. The lender is entitled to recover the outstanding loan as quickly as possible, and is not bound to sell the foreclosed property at the highest price. Such an institutional setting allows us to study lender and borrower behavior, specifically the influence of price expectations, volatility and equity losses on foreclosure transactions using non-foreclosure transactions as a comparison. Our results show that differences in seller response to market expectations and equity losses exist across foreclosure and non-foreclosure transactions. Seller behavior matters. While price expectations, volatility and equity losses are influential factors for individual households, past price movements is the most important. This study also further seeks to distinguish loss aversion from disposition effect. By controlling for properties that suffered losses in equity but did not sell, we are able to examine the disposition effect in house owners. The result shows that there is disposition effect for non-foreclosure properties, where individual homeowners are reluctant to sell if the properties suffer losses.

Correction to: Local House Price Paths: Accelerations,Declines, and Recoveries

The Journal of Real Estate Finance and Economics - The article Local House Price Paths: Accelerations, Declines, and Recoveries written by Alexander N. Bogin, William M. Doerner and William D....     

Short Sales Constraints, Liquidity and Price Discovery: An Empirical Analysis on the Paris Bourse

In the Paris Bourse some stocks are traded on a spot basis, while others are traded on a monthly settlement basis. The latter are likely to be less subject to leverage and short sales constraints. We empirically analyse the consequences of this difference for the order flow and the return process. Consistent with the theoretical analysis of Diamond and Verrechia (1987), we find that market sell orders are less frequent on the spot market than on the monthly settlement market (although not very significantly) and that the spot market reflects good news (significantly) faster than bad news.     

A Theory of Stock Price Responses to Alternative Corporate Cash Disbursement Methods: Stock Repurchases and Dividends

This paper develops a model in which managers can signal their firms' true values by using either a dividend or a stock repurchase or both. The authors explain a number of stylized facts about these cash-disbursement mechanisms, particularly those concerning the relative magnitudes of stock price responses to dividends and repurchases. Most importantly, they explain why a stock repurchase elicits a significantly higher price response, on average, than a dividend announcement.     

Divergence of Cash Flow and Voting Rights,Opacity, and Stock Price Crash Risk: International Evidence

This study investigates whether and how the deviation of cash flow rights (ownership) from voting rights (control), or simply the ownership‐control wedge, influences the likelihood that extreme negative outliers occur in stock return distributions, which we refer to as stock price crash risk. We do so using a comprehensive panel data set of firms with a dual‐class share structure from 20 countries around the world for the period of 1995–2007. We predict and find that opaque firms with a large wedge are more crash prone than opaque firms with a small wedge. In addition, we predict and find that the positive relation between the wedge and crash risk is less pronounced for firms with more effective external monitoring and for firms with greater growth opportunities. The results of this study are broadly consistent with Jin and Myers’s theory that agency costs, combined with opacity, exacerbate stock price crash risk.     

House Prices and the Structure of Local Government: An Application of Spatial Statistics

When two internally homogeneous communities decide to jointly provide a public service, residents of each community lose some control over the public service provision. The loss of control over public schooling provision contributes to a $2,929 or 3.5 percent drop in constant-quality house value. Increased heterogeneity of the consolidated district is responsible for almost all the drop; the increased number of service recipients alone is responsible for almost none of the drop. The spatial hedonic, corrected for sample selection bias, also suggests economies of scale gains from school district consolidation must be worth at least $3,369—4 percent of house value.     

The Choice of Methodology for Computing Housing Price Indexes: Comparisons of Temporal Aggregation and Sample Definition

Housing transactions are executed and recorded daily, but are routinely pooled into longer time periods for the measurement and analysis of housing price trends. We utilize an unusually rich data set, covering essentially all arm's length housing sales in Sweden for a dozen years, in an attempt to understand the effect of temporal aggregation upon estimates of housing prices and their volatilities. This rich data set also provides a unique opportunity to compare the results using the conventional weighted repeat sales model (WRS) to those based on a research strategy which incorporates all available information on house sales. The results indicate the clear importance of temporal disaggregation in the estimation of housing prices and volatilities—regardless of the model employed.The appropriately disaggregated model is then used as a benchmark to compare estimates of the course of housing prices produced by the two models during the twelve year period 1981–1993. These results indicate that much of the difference between estimates of price movements can be attributed to the data limitations which are inherent in the repeat sales approach. The results, thus, suggest caution in the interpretation of government-produced price indices or those produced by private firms based on the repeated sales model.     

The Construction of Residential Housing Price Indices: A Comparison of Repeat-Sales,Hedonic-Regression,and Hybrid Approaches

This article examines a number of hypotheses that underpin the repeat-sales and hedonic approaches to the construction of housing price indices, as well as the practical problems associated with the implementation of either approach. We also examine a hybrid procedure that combines elements of both the repeat-sales and hedonic-regression techniques. For our sample of individual home sales in Oakland and Fremont California over an 18-year period, repeat-sales methods are subject to sample selection bias; the maintained assumption of time constancy of implicit prices of housing attributes is violated; the repeat-sales estimator is extremely sensitive to influential observations; and the usual method used to correct for heteroskedasticity in repeat-sale housing returns is inappropriate in our sample. Hedonic techniques are better suited to contend with index number problems per se, as they can accommodate changing attribute prices over time. They also appear to give rise to more reliable estimates of price indices, as unusual observations have less effect on estimated price indices. Drawbacks of the hedonic approach include the usual concern with omitted attributes, and their effect on the estimated price index.     

A Reexamination of Housing Price and Household Consumption in China: The Dual Role of Housing Consumption and Housing Investment

It is important to investigate the correlation between housing price and household consumption to gain an understanding of the behavior of the economy and effectively handle the consequences of economic development. In the last two decades, the accumulation of housing wealth by Chinese households has not been effectively transmitted to their final consumption. We discovered that the sustained increase in household wealth and housing-ownership rate in China has been accompanied by a decrease in consumption rate. We also identified a negative correlation between housing price and household consumption for both the homeowners who own one housing unit and those who own two units of housing. We investigated this phenomenon in China both theoretically and empirically by capturing the dual nature of housing as a consumption good and an investment vehicle. We found that the demand for second housing units is motivated by increasing housing consumption demand rather than pure investment needs. To explain the mechanisms that drive household-consumption behavior, we also explored the effects on household consumption of China’s educational system, marriage market and ageing society, as well as future housing-market uncertainty. The implications of government intervention in the housing market are discussed.