I create a time series of weekly ratios of Google searches, in the US, on buying and selling in the Real Estate Category of Google Trends. I call this ratio the Google US Housing Market BUSE Index or simply the BUSE index. It expresses the number of "buy"-searches for each "sell"-search which,...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We analyze the role of food insurance on the housing markets of coastal cities. To do so we have assembled a parcel-level dataset including the universe of residential sales for three coastal urban areas in the United States – Miami-Dade county (2008-2015), New York city (2003-2016), and...

Are coastal cities adjusting to rising sea levels? This paper argues that large-scale events have the potential to ignite the process. We examine the effects of hurricane Sandy on the New York City housing market. We assemble a large plot-level dataset with rich geographic data on housing sales...

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...

We examine Singapore's fairly homogeneous private-housing market and show that new apartments on historical multi-century leases trade at a non-zero discount relative to property owned in perpetuity. Descriptive regressions indicate that new apartments with 825 to 986 years of tenure remaining...

Following popular discourse, we abuse economic terminology by defining the housing shortage in the United States as the difference between the number of homes that would be built in the absence of supply constraints and the actual number of homes. The magnitude of the housing shortage is...

In this paper, we present a directed search model of the housing market. The pricing mechanism we analyze reflects the way houses are bought and sold in the United States. Our model is consistent with the observation that houses are sometimes sold above, sometimes below and sometimes at the...

We evaluate the price development of apartments in neighborhoods surrounding temporary housing for refugees using the unpredicted announcement of three building sites, targeting refugees, in Gothenburg. More in particular, we look at the price development in the year after the announcement. We...

This paper examines whether effects of labor demand shocks on housing prices vary across time and space. Using data on 321 US metropolitan statistical areas, we estimate the medium- and long-run effects of increases in metropolitan statistical area-level employment and total labor income on...