This Paper aims to explain the spatial variations of crime, both between and within cities. Two types of mechanisms are put forward: social interactions that stipulate that an individual is more likely to commit crime if his peers commit than if they do not commit crime; and distance to jobs that...

We develop a theoretical model in which whites mainly use private vehicles to commute whereas non-whites use public transportation. We show that, for whites and non-whites, higher (time) distance-to-jobs leads to lower search effort. Because of different transport modes, we also show that, at...

A model is considered in which optimal search intensity is a result of a trade-off between short-run losses due to higher search costs (more interviews, commuting...) and long-run gains due to a higher chance to find a job. We show that this optimal search intensity is higher in areas...

We develop a search-matching model with rural-urban migration and an explicit land market. Wages, job creation, urban housing prices are endogenous and we characterize the steady-state equilibrium. We then consider three different policies: a transportation policy that improves the public...

"Examines trend toward digital means of consumer payments, asking several questions: How will digital money evolve? What impacts will technologies such as wireless devices have on payment for goods and services? What other technologies await consumers? And what will the consumer payments...

This article attempts a formal analysis of the connection between property tax and urban sprawl in U.S. cities. We develop a theoretical model that includes households (who are also landlords) and land developers in a regional land market. We then test the model empirically based on a national...

We develop a model where the unemployed workers in the city can find a job either directly or through weak or strong ties. We show that, in denser areas, individuals choose to interact with more people and meet more random encounters (weak ties) than in sparsely populated areas. We also...