This paper sets out annual series of economic, financial and demographic related to housing for Australia for the period 1881-2011. Some estimates are provided for 2012. The methodology used in constructing and/or splicing the various series are stated and explained

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...

Despite the prevalence and high cost of real estate agents, there is limited empirical evidence as to the nature or efficacy of their services. In this paper we estimate real estate agents' value-added when either selling or buying homes using data from three large multiple listing services...

Houses on streets with names that honor the Confederacy sell for 3% less than other similar nearby houses. The effect is concentrated outside the South and in regions with greater Black populations and more left-leaning voters, and it increases following attention-grabbing events that highlight...

We study long-term returns on residential real estate in twenty-seven “superstar” cities in fifteen countries over 150 years. We find that total returns in superstar cities are close to 100 basis points lower per year than in the rest of the country. House prices tend to grow faster in 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...

The Low-Income Housing Tax Credit (LIHTC) program is one of the largest sources of financing for affordable housing in the United States. Contrary to many residents’ fears, research typically shows that LIHTC-financed properties generate positive spillover impacts in their surrounding...

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...

This paper quantitatively accounts for the cyclical dynamics of key macroeconomic housing and mortgage market variables using a tractable, search-theoretic model of housing with equilibrium mortgage default. To explain these dynamics, the model highlights the importance of liquidity spirals...

The paper compares the dynamics of housing prices in fifteen OECD countries. The data reveal a remarkable degree of similarity across countries and suggest rich dynamics for the first-differenced real house prices, with a significant structure of autocorrelation.