Why Are Foreclosures Contagious?

This article investigates the mechanism by which foreclosed properties depress neighboring property prices. Using a novel dataset on housing capital expenditure, I verify as accurate the claim of disinvestment theory made in earlier studies. When capital expenditure investment, neighborhood price trends, number of Multiple Listing Service listings and neighborhood fixed effects are controlled for, the negative effect on property prices is significant from nearby foreclosures, real estate owned (REO) listings and REO sales, but not from default and delinquent properties. The effect is larger in a depressed market than in an appreciating market. I argue that the most plausible explanation for these results is that a foreclosure discount drives down the reference prices for nearby properties and depresses neighborhood values. This discount information is revealed to the public through foreclosures, REO listings and REO sales.     

The Economic Impact of Anticipated House Price Changes—Evidence from Home Sales

If realized house prices have the wealth effect and the collateral effect on the economy, anticipated house price changes should have similar economic effects. This article empirically analyzes the effects of single‐family home sales, which are shown to be able to predict house prices in the literature, on economic production, using 372 metropolitan statistic areas in the United States from the first quarter of 1981 to the second quarter of 2008 in a panel vector error correction model. Changes in home sales are found to Granger because the growth rate of per‐capita gross metropolitan product and the dynamic effects are visualized with impulse response functions. Supporting evidence for the economic impact of home sales is also found in contemporaneous regressions.     

Government Policies,Residential Mortgage Defaults and the Boom and Bust Cycle of Housing Prices

We develop a micro‐based macromodel for residential home prices in an economy where defaults on residential mortgages negatively affect housing prices. Our model enables us to study the impact of subprime defaults on prime borrowers and the impact of various government policies on the housing market boom and bust cycle. In this regard, our key conclusions are that (i) there is a contagion effect from subprime defaults to prime defaults due to the negative impact of subprime defaults and (ii) monetary policy is the most effective tool for decreasing mortgage defaults and increasing aggregate home prices in contrast to alternative government fiscal policies designed to loosen mortgage credit.     

On the Nature of Self‐Assessed House Prices

In models of optimal household behavior, the value of housing affects consumption, savings and other variables. But homeowners do not know the value of their house for certain until they sell, so while they live in their home they must rely on local house price data to estimate its value. This article uses data from the recent housing boom and bust to demonstrate that changes in households' self‐assessed home values are strongly consistent with the predictions of a model in which households optimally filter available house price data. Specifically, we show that self‐assessed house prices did not increase as rapidly as house price indexes during the boom and did not decline as severely during the bust. A Kalman filter model nearly perfectly replicates these data. These findings have direct implications for economists studying asking prices during booms and busts, optimal default decisions and other key housing‐related phenomena.     

The Reaction of Real Estate–Related Industries to the Monetary Policy Actions

We study the impact of changes in U.S. monetary policy on the equity returns of real estate–related industries. We find that, over the 1989–2005 sample period covered in our study, a hypothetical unexpected rate cut of 25 basis points (bps) is associated with an increase of about 170 bps in the value‐weighted returns of real estate–related industries. We find that monetary policy impacts the stock prices in real estate–related industries through its impact on the future expected stock returns and not on real interest rates or expected future dividends. There is also some evidence of asymmetry in the responses of the industry returns to the monetary policy actions. A strong stock price response to reversals in the direction of the Federal Reserve's monetary policy is reported.     

Timing Product Replacements under Uncertainty—The Importance of Material–Price Fluctuations for the Success of Products That Are Based on New Materials

Being first to market with new products is one of the most enduring pieces of strategic advice handed to managers. This view also emphasizes the importance of launching new products that are based on new materials as soon as possible. However, when the input costs of products that embody new materials are uncertain because of volatile material prices, the advantage of being an early mover comes along with the risk of paying unexpectedly high material prices. Real‐option theory suggests delaying material substitution under uncertainty even if the new material enables superior product performance. Firms who have created the flexibility to switch between alternative inputs can benefit from responding to opportunities or threats that arise from changes in the environment. The current study formalizes this logic in a switching‐option model and tests it on a sample of material substitution projects from the manufacturing sector. Our findings shed light on how input‐cost fluctuations influence the timing–performance relationship and bring into question the common advice to launch new products as soon as possible. Instead, our results suggest that firms who align the timing of market launch to trends and fluctuations of material prices improve their competitive positions. These insights suggest novel ways for new product development (NPD) managers how to successfully use external information at the back‐end of the NPD process and how to compete in an era defined by volatile material prices and technological change.     

International Differences in Wage Inequality: A New Glance with European Matched Employer–Employee Data

Using international harmonized matched employer–employee micro data from the European Structure of Earnings Survey for nine European countries, this article examines the origin of international differences in wage inequality. Wage inequality is highly correlated with the magnitude of inter‐firm wage differentials. Workplace‐ and job‐related factors generally have a more significant impact on within‐country wage inequality than individual characteristics. European countries differ significantly not only in the extent of wage inequality but also in the relative influence of factors shaping wage inequality. Although cross‐country differences in labour force composition play a part in the explanation, differences in the distribution and in labour market prices attached to workplace and job characteristics are the primary factors contributing to international differences in wage inequality.     

Pricing Private Mortgage Insurance

Issues involved in an evaluation of the price of private mortgage insurance are discussed. Cost considerations are emphasized as long-run equilibrium competitive market prices equal long-run marginal and average cost. An empirical evaluation of current insurance premiums vis-a-vis competitive market norms requires more empirical information on the determinants of foreclosures, especially the links between micro and macro determinants. Option pricing models suggest other data comparisons that also may shed light on an evaluation of insurance premiums.     

The Economics of Style: Measuring the Price Effect of Neo‐Traditional Architecture in Housing

Vintage effects have received considerable attention from economists in the context of house prices. Although strongly related, the impact of architectural building styles on prices has not been studied yet. Using a cross‐sectional hedonic price analysis including building styles of recently developed homes in the Netherlands we find a significant price premium for housing with neo‐traditional architecture. Extensive intervention by local authorities on the supply side of the housing market seems the most probable explanation of this effect. The decreasing price premium over time reflects the impact of supply restrictions on price, but also indicates that style does matter.     

Market Power in International Commodity Trade: The Case of Coffee

This paper studies the impact of market power on international commodity prices. I use a standard oligopoly model and exploit historical variations in the structure of the international coffee bean market to assess the impact of a cartel treaty on coffee prices and its global welfare consequences. The results suggest that the International Coffee Agreement (ICA, 1965–89) raised its price by 75% above the Cournot‐competitive level, annually transferring approximately $12 billion from consumers to exporting countries, and its lapse in 1989 explains four‐fifths of the subsequent price decline, that is, the ‘coffee crisis.’     

An Empirical Examination of Traditional Neighborhood Development

This study analyzes the impact of the new urbanism on single-family home prices. Specifically, we explore the price differential that homebuyers pay for houses in new urbanist developments relative to houses in conventional suburban developments. Using data on over 5,000 single-family home sales from 1994 to 1997 in three different neighborhoods, hedonic regression results reveal that consumers pay more for homes in new urbanist communities than those in conventional suburban developments. Further analyses indicate that the price premium is not attributable to differences in improvement age and other housing characteristics.     

Optimal Pricing Strategy in the Case of Price Dispersion: New Evidence from the Tokyo Housing Market

We adopt a multistage search model, in which the home seller's reservation price is determined by her or his opportunity cost, search cost, discount rate and additional market parameters. The model indicates that a greater dispersion in offer prices leads to higher reservation and optimal asking prices. A unique dataset from the Tokyo condominium resale market enables us to test those modeled hypotheses. Empirical results indicate that a one percentage point increase in the standard deviation of submarket transaction prices results in a two‐tenths of a percent increase in the initial asking price and in the final transaction price. Increases in the dispersion of market prices enhance the probabilities of a successful transaction and/or an accelerated sale.     

Commercial and Industrial Demand Response Under Mandatory Time‐of‐Use Electricity Pricing

This paper is the first to evaluate the impact of a large‐scale field deployment of mandatory time‐of‐use (TOU) pricing on the energy use of commercial and industrial firms. The regulation imposes higher prices during hours when electricity is generally more expensive to produce. We exploit a natural experiment that arises from the rules governing the program to present evidence that TOU pricing induced negligible change in overall usage, peak usage and peak load. As such, economic efficiency was not increased. Bill levels and volatility exhibit minor shifts, suggesting that concerns about increased expenditure and customer risk exposure have been overstated.     

The burgeoning role of iBuyers in the housing market

We examine the iBuyers’ business model and their impact on housing markets. We find that iBuyers tend to enter neighborhoods that have more easily priced and homogeneous homes, as price discovery is simpler and more consistent with their pricing algorithm in those areas. iBuyers purchase homes at lower prices than individual owner-occupiers, and this acquisition discount reflects the benefits iBuyers offer to motivated sellers rather than distressed home purchases or unobserved lower-quality housing characteristics. Last, a greater presence of iBuyers results in a higher volume of local housing transactions and encourages more home sellers to sell without listing.     

Entry in the ADHD drugs market: Welfare impact of generics and me‐too's

Recent decades have seen a growth in treatments for attention deficit hyperactivity disorder (ADHD) including many branded and generic drugs. In the early 2000's, new drug entry dramatically altered market shares. We estimate a demand system for ADHD drugs and assess the welfare impact of new drugs. We find that entry induced large welfare gains by reducing prices of substitute drugs, and by providing alternative delivery mechanisms for existing molecules. Our results suggest that the success of follow‐on patented drugs may come from unanticipated innovations like delivery mechanisms, a factor ignored by proposals to retard new follow‐on drug approvals.     

Does Energy Consumption Respond to Price Shocks? Evidence from a Regression‐Discontinuity Design

We exploit unique features of a recently introduced tariff schedule for natural gas in Buenos Aires to estimate the short‐run impact of price shocks on residential energy utilization. The schedule induces a non‐linear and non‐monotonic relationship between households' accumulated consumption and unit prices, thus generating exogenous price variation, which we exploit in a regression‐discontinuity design. We find that a price increase causes a prompt and significant decline in gas consumption. The results also indicate that consumers respond more to recent past bills than to expected prices, which argues against an assumption of perfect awareness of complex price schedules by consumers.     

Estimating Loan‐to‐Value Distributions

We estimate a model of house prices, combined loan‐to‐value ratios (CLTVs) and trade and foreclosure behavior. House prices are only observed for traded properties and trades are endogenous, creating sample‐selection problems for existing approaches to estimating CLTVs. We use a Bayesian filtering procedure to recover the price path for individual properties and produce selection‐corrected estimates of historical CLTV distributions. Estimating our model with transactions of residential properties in Alameda, California, we find that 35% of single‐family homes are underwater, compared to 19% estimated by existing approaches. Our results reduce the index revision problem and have applications for pricing mortgage‐backed securities.     

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.     

Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands

This article assesses the predictive power of variables that measure market tightness, such as seller's bargaining power and sale probabilities, on future home prices. Theoretical insights from a stylized search‐and‐matching model illustrate that such indicators can be associated with subsequent home price appreciation. The empirical analysis employs listings data on residential units offered for sale through a real estate broker in the Netherlands and for certain U.S. regions. Individual records are used to construct quarterly home price indices, an index that measures seller's bargaining power and (quality‐adjusted) home sale probabilities. Using conventional time‐series models we show that current sale probabilities and bargaining power can significantly reduce home price appreciation forecast errors and help to predict turning points in local area housing markets. The measures and approaches in this article help to demonstrate ways in which researchers and practitioners can leverage listings data to gain knowledge about the current and future state of the housing market.     

The Long‐Run Relationship Between House Prices and Rents

I use standard error‐correction models and long‐horizon regression models to examine how well the rent–price ratio predicts future changes in real rents and prices. I find evidence that the rent–price ratio helps predict changes in real prices over 4‐year periods, but that the rent–price ratio has little predictive power for changes in real rents over the same period. I show that a long‐horizon regression approach can yield biased estimates of the degree of error correction if prices have a unit root but do not follow a random walk, and I construct bootstrap distributions to conduct appropriate inference in the presence of this bias. The results lend empirical support to the view that the rent–price ratio is an indicator of valuation in the housing market.