Capital stock in residential structures, as well as the distribution of its appropriation and ownership among families are fundamental determinants of the wealth, welfare and productivity of the economy. As part of a broad project on the stock of capital of the Brazilian economy in the 20th...

The purpose of this paper is to estimate constant quality price trends and analysing factors determining market prices for MDCBs (multi-dwelling and commercial buildings) in Sweden. We use high quality data for housing and municipality attributes and our database consists of almost 8500...

From 2014 until present, housing prices in Germany have been rising faster than consumer prices in all quarters except one, raising concerns about an excessive over-heating of the housing market. To assess the vulnerability of the German housing market to a future realignment of prices or even a...

The house price level is a function of buyers' realized home equity, and buyers' realized home equity is a function of the house price level. This interdependence follows from the fact that buyers are sellers in the same market. This article examines under what conditions this leads to a...

From September 2011 to January 2015, the Swiss National Bank (SNB) implemented a minimum exchange rate regime (i.e. a one-sided target zone) vis-a-vis the euro to fight deflationary pressures in the aftermath of the Great Financial Crisis. During this period of unconventional monetary policy,...

We study long-term returns on residential real estate in 27 "superstar" cities in 15 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 superstars, but rent...

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...

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...

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...