This paper proposes a novel methodology for delineating urban areas based on a machine learning algorithm that groups buildings within portions of space of sufficient density. To do so, we use the precise geolocation of all 12 million buildings in Spain. We exploit building heights to create a new dimension...

In this paper, we assess the impact of the arrival and expansion of Airbnb on housing rents and prices in the city of Barcelona. Examining highly detailed data on rents and both transaction and posted prices, we use several econometric approaches that exploit the exact timing and geography of Airbnb...

This research examines wage differentials associated to different collective bargaining regimes in Spain and their evolution over time based on matched employer-employee microdata. The primary objective is to analyse the wage differentials associated to the presence of a firm-level agreement and how they have evolved, taking into account the changes...

We estimate the effect of urban spatial structure on income segregation in Brazilian cities between 2000 and 2010. Our results show that, first, local density conditions increase income segregation: the effect is higher in monocentric cities and smaller in polycentric ones. Second, the degree of monocentricity-polycentricity also affects segregation: while...

In the post World War II period, most U.S. cities experienced large movements of population from the city centers to the suburbs. In this paper we provide causal evidence that this process of suburbanization can be explained by the rise of violent crime in city centers. We do so by...

The responsiveness of house prices to monetary policy shocks depends on the nature of the shock – expansionary versus contractionary – and on local housing supply elasticities. These findings are established based on a panel of 263 US metropolitan areas. We test and find supporting evidence for the hypothesis that...