Social interactions are considered pivotal to urban agglomeration forces. This study employs a unique dataset on mobile phone calls to examine how social interactions differ across cities and peripheral areas. We first show that geographical distance is highly detrimental to interpersonal...

We consider a microfounded urban growth model with two regions and a mass of mobile workers to study interactions among growth, agglomeration, and urban congestion. Unlike previous research in the urban growth literature, we formulate the model as a one-shot game and take an evolutionary...

As by product of economic growth, jobs are indeed transformational. In other words, efficiency increases as workers get better at what they do (as more productive jobs appear and less productive one disappear). In fact societies flourish as jobs bring together people from different ethnic and...

We explore the impact of bicycle-sharing infrastructure on urban transportation. Accounting for selection bias in a matching framework, we estimate a causal effect of the Capital Bikeshare on traffic congestion in the metropolitan Washington, DC, area. We exploit a unique traffic dataset that is...

This paper aims to contribute toa better understanding of the Knowledge Intensive Services spatial distribution across the European Union(EU) regions(NUTSII), linking recent research approaches on innovation and structural change with approaches to regional economics. As a means of conducting...

This paper uses street-level data on house sales and crime rates for England and Wales to look at the existence of compensating differentials for crime risk. In terms of identification my strategy relies on the use of non-parametric regional time trends as well as various fixed effects to...

This paper uses variation in victimization probabilities between individuals living in the same community to shed new light on the costs of crime. I use panel data from the Mexican Family Life Survey for 2002 and 2005 and look at the impact of within-community differences in victimization risk...