This paper examines the welfare cost of rare housing disasters characterized by large drops in house prices. I construct an overlapping generations general equilibrium model with recursive preferences and housing disaster shocks. The likelihood and magnitude of housing disasters are inferred...

We investigate whether expectations that are not fully rational have the potential to explain the evolution of house prices and the price-to-rent ratio in the United States. First, a Lucas type asset-pricing model solved under rational expectations is used to derive a fundamental value for house...

Exploiting the unique institutional setting of Hong Kong's real estate market, we uncover a curious ripple effect of haunted houses on the prices of nearby houses. Prices drop on average 19% for units that become haunted, 9% for units on the same floor, 6% for units in the same block, and 1% for...

In this paper I estimate the impact of changes in real and financial wealth � proxied by house and stock market prices � on private consumption for a panel of sixteen emerging economies in Asia and Central and Eastern Europe. Using recent econometric techniques for heterogeneous...

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 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 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...