This paper uses new household survey data to study expectation formation during the recent housing boom in Germany. The cross section of forecasts depends on only two household characteristics: location and tenure. The average household in a region responds to local conditions but underpredicts...

China has experienced a rapid boom in real estate prices in the last few decades, leading toa substantial increase in living costs and heavy financial burdens on households. Usingan instrumental variable approach, this paper exploits spatial and temporal variation inhousing price appreciation...

China has experienced a rapid boom in real estate prices in the last few decades, leading to a substantial increase in living costs and heavy financial burdens on households. Using an instrumental variable approach, this paper exploits spatial and temporal variation in housing price appreciation...

Credit default is a dramatic consequence of disadvantageous private financial decisions. Using regression methods which eliminate spatial autocorrelation at the level of 1 km2 grids and further identification problems, we observe considerable and reinforcing residential segregation between...

In this paper, we analyze the borrowing behavior of Japanese households in comparison to the other Group of Seven (G7) countries and also broken down by the age group of the household head. We find that pre-retirement households (households with a head in the 50-59 age group) in Japan do not...

In this paper we propose a SVAR identification strategy to disentangle two housing demand shocks and their ensuing effect on consumption. This builds on the literature studying the role of the collateral and housing wealth effects on household behaviour. A mix of zero and sign restrictions...

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 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 study the effect of borrowing constraints in an assignment model of the housing market. When constraints apply symmetrically to all households, these lead to lower prices but unchanged housing consumption. When households can invest their own wealth and may differ in tastes, borrowing...

In this paper, I study the role of housing for wealth accumulation and the determination of the equilibrium real interest rate within a continuous-time overlapping generations model that incorporates a realistic demographic structure and households that save for life-cycle and bequest reasons....