The aim of the paper is to analyze the role of real estate market as dirty money laundering channel for organized crime in Italy. We contribute to the economic literature on house price determinants, providing an agent based model to simulate the price determinants in Italian provincial capital....

We use detailed information on all real estate stock and transactions since 2006 to study housing inequality in Belgium and how a recent policy shaped it. We use the transactions to predict the market value of all dwellings in the country, to then estimate inequality in value or space at...

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 presents a complex, modular, 1:1 scale model of the Hungarian residential housing market. All the 4 million house‐ holds and their relevant characteristics are represented based on empirical micro‐level data coming from the Central Credit Information System, the Pension Payment...

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...

This paper investigates the US housing market from just before the Great Recession onward (2006-19) and assesses the viability of stock-flow matching in generating the observed outcomes. The paper documents that the probability that a house sells declines sharply after listing for two weeks....

The paper provides a framework for theorising the role of house price cycles in national growth models. We synthesise Minskyan approaches with comparative political economy (CPE) by arguing that institutions influence the extent to which countries experience what we call 'house price-driven...

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...