In this paper, we develop a local housing stock heterogeneity measure. This measure may be used to monitor housing stock heterogeneity over time and in combination with other measures of policy interest. We illustrate the latter by looking at local housing stock heterogeneity, house price...

I estimate the impact of new housing supply on the local rent distribution, exploiting delays in housing completions caused by weather shocks during the construction phase. Increasing the flow of new supply by 1 percent lowers average rents by 0.2 percent, and increases disproportionately the...

Rents have been proposed as a fundamental determinant of house prices, and indeed deviations from a purported stable relationship between rents and prices have been used as measures of housing market froth, or bubbles. However, previous research has demonstrated that rents and prices are...

This paper investigates the US housing market from just before the Great Recession onward (2006-2019) and assesses the viability of stock-flow matching in generating the observed outcomes. The paper documents that the probability a house sells declines sharply after listing for two weeks....

This paper investigates the US housing market from just before the Great Recession onward (2006-2019) and assesses the viability of stock-flow matching in generating the observed outcomes. The paper documents that the probability a house sells declines sharply after listing for two weeks....

Purpose - We propose an economic model of housing markets. The model incorporates the macroeconomic relationships between prices, demand and supply. Since vacancy rates are not observable, the demand-supply mismatches are identified using a microeconomic model of search, matching and price...

We examine the evolution of spatial house price dispersion during Germany’s recent housing boom. Using a dataset of sales listings, we find that house price dispersion has significantly increased, which is driven entirely by rising price variation across postal codes. We show that both price...

We examine the evolution of spatial house price dispersion during Germany's recent housing boom. Using a dataset of sales listings, we find that house price dispersion has significantly increased, which is driven entirely by rising price variation across postal codes. We show that both price...

This article provides the in-sample estimation and evaluates the out-of-sample conditional mean and volatility forecast performance of the conventional Generalized Autoregressive Conditional Heteroscedasticity (GARCH), Asymmetric Power Autoregressive Conditional Heteroscedasticity (APARCH) and...

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...