Longstanding speculation about the likelihood of a housing market collapse has given way in the past few months to consideration of just how far the housing market will fall, and how much damage the debacle will inflict on the economy. This paper assesses the magnitude of the impact of housing...

Recent developments in US house prices mirror those of the 1996-2006 boom, but the recovery in construction activity has been weak. Using data for 254 US metropolitan areas, we show hat housing supply elasticities have fallen markedly in recent years. Housing supply elasticities have declined...

This paper studies whether and why algorithmic traders exhibit one of the most broadlydocumented behavioral puzzles - the disposition effect. We use trade data from the NASDAQ Copenhagen Stock Exchange merged with the weather data. We find that on average, the disposition effect for human...

We analyze the trading activity in an Internet chat room with approximately 1,300 participants. Traders make posts in real time about their activities. We find these traders are more skilled than retail investors analyzed in other studies. 55% make profits after transaction costs, and they earn...

Previous studies on financial frictions have been unable to establish the empirical significance of credit constraints in macroeconomic fluctuations. This paper argues that the muted impact of credit constraints stems from the absence of a mechanism to explain the observed persistent comovements...

We use a quantitative equilibrium model with houses, collateralized debt and foreign borrowing to study the impact of global imbalances on the U.S. economy in the 2000s. Our results suggest that the dynamics of foreign capital flows account for between one fourth and one third of the increase in...

Expectations about future housing prices are arguably an important determinant of actual housing prices, and an important input in decisions on whether and how to transact in the housing market. Using novel micro-level survey data on Swedish households, we analyse households' expectations of...

Self-reported home values are widely used as a measure of housing wealth by researchers; the accuracy of this measure, however, is an open empirical question, and requires some type of market assessment of the values reported. In this study, the authors examine the predictive power of...

We characterize the dynamics of neighborhood racial composition by using the k-medians machine learning technique to group neighborhoods into five different patterns according to the evolution of the Black population share of census tracts from 1950 through 1990. The procedure classifies tracts...

We introduce a framework for analyzing the interplay between credit risk and collateralmarket risk on loan pricing. To do this, we decompose any loan into an unsecured and asecured part. Further we explicitly consider the recovery process. The framework allows usto develop semi-analytical...