Little is known about where hotspots of gentrification emerge within a city and the role that some types of businesses play in the process. We develop a method to detect the sectors whose presence heralds the process of gentrification in a neighborhood. We show that these sectors, mostly found in cultural and creative industries, help to anticipate neighborhood change and that their predictive power complements that of traditional gentrification determinants. We also examine mechanisms related to amenities, worker characteristics, and signaling that are consistent with these results. The analysis illustrates the importance of businesses in the sociodemographic dynamics of neighborhoods.

Using microlevel commodity flow data and microgeographic plant-level data, we construct industry-specific ad valorem trucking rate series and measures of geographic concentration to provide evidence on the relationship between transport costs and agglomeration. We find that low-transport-cost industries display significantly more geographic concentration in the cross-sectional dimension and that falling transport costs agglomerate industries in the panel dimension. The effects are large: the fall in trucking rates between 1992 and 2008 implied a 20% increase in geographic concentration on average, all else equal.

We investigate the 2008–2009 trade collapse using microdata from a small open economy, Belgium. Belgian exports and imports mostly fell because of smaller quantities sold and unit prices charged rather than fewer firms, trading partners, and products being involved in trade. Our difference-in-difference results point to a fall in the demand for tradables as the main driver of the collapse. Finance and involvement in global value chains played a minor role. Firm-level exports-to-turnover and imports-to-intermediates ratios reveal a comparable collapse of domestic and cross-border operations. Overall, our results reject a crisis of cross-border trade per se.