This paper studies housing markets with multiple segments searched by heterogeneous clienteles. We document market and search activity for the San Francisco Bay Area. Variation within narrow geographic areas is large and differs significantly from variation across those areas. In particular,...

We document that the recent house price experiences within an individual's social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity. Our data combine anonymized social network information from...

We document that the recent house price experiences within an individual's social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity. Our data combine anonymized social network information from...

We study housing markets with multiple segments searched by heterogeneous clienteles. In the San Francisco Bay Area, search activity and inventory covary negatively across cities, but positively across market segments within cities. A quantitative search model shows how the endogenous flow of...

This paper studies housing markets with multiple segments searched by heterogeneous clienteles. We document market and search activity for the San Francisco Bay Area. Variation within narrow geographic areas is large and differs significantly from variation across those areas. In particular,...

We show how data from online social networking services can help researchers better understand the effects of social interactions on economic decision making. We use anonymized data from Facebook, the world's largest online social network, to first explore heterogeneity in the structure of...

We document that the recent house price experiences within an individual's social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity. Our data combine anonymized social network information from...