Government Supply of Land in a Dual Market

A dual land market is one in which the government owns a significant portion of developable land while real estate development is done primarily by the private sector. This article examines Singapore's experience with its system of government land supply in a dual market, focusing on its response to market signals as well as the interaction with the significant private supply of land. The example is relevant to the general problem of government sales of valuable assets. The private supply of developable land behaves in line with expectations. The government response to price signals differs only modestly from that of private landowners.     

Spatial Statistics and Real Estate

Real estate has historically employed statistical tools designed for independent observations while simultaneously noting the violation of these assumptions in the form of clustering of same sign residuals by neighborhood, along roads, and near facilities such as airports. Spatial statistics takes these dependencies into account to provide more realistic inference (OLS has biased standard errors), better prediction, and more efficient parameter estimation. This article provides an overview of the field and directs readers to the relevant literature and software.     

FINANCING AND HOUSE PRICES

Recent empirical evidence on the effect of below-market financing on house prices has suffered from estimation and interpretation problems. In this paper, a methodology is developed to solve these problems. Using data for mortgage revenue bonds, the methodology is tested with results indicating that all financing subsidy is capitalized into house prices.     

Retail Leasing: The Determinants of Shopping Center Rents

The determinants of lease rentals are of fundamental importance to real estate researchers and practitioners. Retail leases are unique in that they typically have two rental components: a base rent and an "overage" rent equal to a percentage of the tenant's gross sales above some threshold level. In this paper, we develop and test a simple cash flow model of retail lease valuation that predicts that base rents are lower with higher percentage rent rates and are higher with greater threshold levels of sales. Using a sample of shopping center leases, regression analysis indicates that these tradeoffs are observed in the market.     

Analyzing Real Estate Data Problems Using the Gibbs Sampler

Real estate data are often characterized by data irregularities: missing data, censoring or truncation, measurement error, etc. Practitioners often discard missing- or censored-data cases and ignore measurement error. We argue here that an attractive remedy for these irregularity problems is simulation-based model fitting using the Gibbs sampler. The style of the paper is primarily pedagogic, employing a simple illustration to convey the essential ideas, unobscured by implementation complications. Focusing on the missing-data problem, we show dramatic improvement in inference by retaining rather than deleting cases of partially observed data. We also detail Gibbs-sampler usage for other data problems.     

Selling price,financing premiums,and days on the market

Home buyers face the task of trading off selling price and the time required to sell a property. One factor that may affect this decision is the presence of financing premiums. The effects of financing premiums on the time a single-family home remains on the market is examined in this paper. The question is to what extent home sellers are willing to compromise on financing premiums and make concessions to buyers in order to sell their properties more quickly.The study uses a sample of single-family residential homes sold with assumption financing and new conventional financing. The sample covers segments of time when interest rates were relatively low and stable (1975–1976) and when rates were much higher on average and more volatile (1980).The results show that financing premiums were present in selling prices of assumption-financed home sales during the 1975–1976 period and that sellers were able to capture a premium and maintain the same average time on the market as properties with other types of financing. During a period of unfavorable market conditions, such as 1980, the results indicate that home sellers with assumption financing conceded or negotiated away any premium in order to significantly decrease the number of days their properties stayed on the market for sale.     

The economics of land transfer and title insurance

In the presence of uncertainty over the title of land (due to fraud or error), a legal system can protect either the current (innocent) owner, or a previous owner who claims title. The predominant system in the United States generally awards title to the latter in the event of legitimate claim. Thus, current owners frequently purchase title insurance to provide indemnification in the event of a loss. In contrast, the Torrens system awards title to the current owner, but provides for indemnification of any legitimate claimants. We evaluate these two systems and argue that if transaction costs are low, both promote efficient assignment of title (according to the Coase Theorem), but if transaction costs are high, the Torrens system is more likely to award title to the party that values it the most (namely, the current possessor).     

A Varying Parameters Approach to Constructing House Price Indexes

Conventional housing price index models assume interperiodparameter stability and typically employ either repeat sales or hedonic methodologies. This paper introduces a method of index construction that combines multiple sales observations with single sale transactions while permitting characteristics prices from hedonic regressions to vary over time. A test for interperiod parameter stability is provided. Each period's data are arranged by location and repeat sales are matched by rows. This construction allows greater use of sample information and acknowledges the unique contribution of repeat sales to the estimation process. It also produces intertemporal error correlations that can be beneficially exploited by the seemingly unrelated regressions (SUH) technique. The paper also demonstrates a significance test for error correlation and discusses the treatment of unequal numbers of observations among index periods.     

PRICING FAST-PAY MORTGAGES: SOME SIMULATION RESULTS

The mortgage market has undergone rapid change in recent years, particularly in the introduction of alternative mortgage instruments. This paper explores one such instrument, the fast-pay (early equity) mortgage. Specifically, in this paper the focus is on how this type of mortgage would be priced relative to the standard conventional mortgage using historical yield data.     

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.