Real estate agents play an important intermediary role in housing markets. We use a merged transaction dataset that identifies houses purchased by registered real estate agents (salespersons) and other buyers in Singapore to empirically test the hypothesis that real estate agents use information...

In the U.S. real estate market, around 30 percent of listed properties remain unsold. We examine whether unsold property listings exert externalities in the housing market. Our study builds on a comprehensive dataset that encompasses residential property listings in Orange County (California)...

In the U.S. real estate market, around 30 percent of listed properties remain unsold. We examine whether unsold property listings exert externalities in the housing market. Our study builds on a comprehensive dataset that encompasses residential property listings in Orange County (California)...

We show that a regulatory disclosure of hidden debt eliminated a large mispricing in housing. In a setting where homebuyers must combine several sources of debt, they are biased towards hidden loans, especially if they are young, or have no experience in financial investments or home...

We use a linked housing transaction dataset and a personal bankruptcy dataset to study the impact of housing credit on personal bankruptcy in Singapore. Using a difference-in-differences (DD) approach, we find that an increase in housing credit increases the monthly instalment by 560-900...

For most people, buying a home is their single largest financial commitment. Previous research shows that Chinese buyers pay less for homes with unlucky addresses and more for homes with lucky addresses. Using Singapore data on housing transactions combined with a plethora of individual buyer...

This paper examines whether and how street name fluency affects housing prices using a rich sample of housing transactions in Sydney, Australia. We find street names with longer words are preferred, i.e., homes on street names with more letters are priced with a 0.6% premium. Homes with unique...

In this paper we use a large panel of individuals from Consumer Credit Panel dataset to study the timing of homeownership as a function of credit constraints and expectations of future house price. Our panel data allows us to track individuals over time and we model the transition probability of...