Following the global financial crisis, macroprudential regulators in a number of countries took actions to mitigate risks arising from stressed mortgage markets to financial and economic stability. Having disaggregated information on the stock of mortgages allows policymakers to analyse...

We estimate the long-run effects of the 1930s Home Owners Loan Corporation (HOLC) redlining maps on census tract-level measures of socioeconomic status and economic opportunity from the Opportunity Atlas (Chetty et al. 2018). We use two identification strategies to identify the long-run effects...

We estimate the long-run effects of the 1930s Home Owners Loan Corporation (HOLC) redlining maps on census tract-level measures of socioeconomic status and economic opportunity from the Opportunity Atlas (Chetty et al. 2018). We use two identification strategies to identify the long-run effects...

We empirically document that the effectiveness of the German rent control introduced in 2015 in achieving rental housing affordability is limited. Exploring the reasons for this limited effectiveness we focus on the impact of the rent control on the yield on rental housing investments proxied by...

This study evaluates the effects of the recent U.S. housing bust on the White-Black homeownership gap by estimating and decomposing the changes in the distribution of the gap between 2005 and 2011. Our analysis shows that the housing bust did not affect the homeownership gap uniformly. In fact,...

We study equilibrium outcomes in markets with asymmetric information about asset values among both buyers and sellers. In residential real estate markets hard-to-observe neighborhood characteristics are a key source of information heterogeneity: sellers are usually better informed about...

This paper estimates and compares methods of constructing disaggregated house price indices from existing house price models using individual sales data for Sydney. Nine alternative house price models are selected to cover the most frequently used methods in the literature: the mean model,...

We propose a new nonparametric approach to estimate the production function for housing. Our estimation treats output as a latent variable and relies on the first order condition for profit maximisation with respect to nonland inputs by competitive house builders. For parcels of a given size, we...

We propose a new nonparametric approach to estimate the production function for housing. Our estimation treats output as a latent variable and relies on the first order condition for profit maximisation with respect to nonland inputs by competitive house builders. For parcels of a given size, we...

We propose a new nonparametric approach to estimate the production function for housing. Our estimation treats output as a latent variable and relies on the first-order condition for profit maximisation with respect to non-land inputs by competitive house builders. For parcels of a given size,...