Journal of Urban Economics最新文献

We propose an analytical solvable model for household residential location choice in a linear monocentric city corridor with bottleneck congestion. Households are heterogeneous in terms of their income. The bottleneck is located between central downtown and adjacent suburb. The urban equilibrium is formulated as the solution of differential equations. We analytically explore the distributional effects of bottleneck capacity expansion on households and the bottleneck capacity investment issues under no toll and first-best and second-best tolls. The results show that the benefits of different-income households from bottleneck capacity expansion change with toll schemes. Specifically, under the no toll and first-best toll, those who gain most are the mid-income households residing at the bottleneck and in a suburban location (close to the bottleneck) respectively, whereas those who gain least are the poorest or richest households. Under the second-best toll, there are two possible cases: the poorest households gain most while the richest households gain least, or the mid-income households residing at the bottleneck gain most while the richest or poorest households gain least. With constant return to scale for capacity investment, self-financing principle still holds for the first-best and second-best tolling in the urban spatial context. Ignoring the changes in urban spatial structure due to household relocation may cause overinvestment or underinvestment in optimal bottleneck capacity under the no toll, but definitely underinvestment under the first-best and second-best tolls.

Between 1984 and 2008, expenditure per Interstate vehicle mile traveled fell 10%, while the price of new lane miles and pavement quality more than doubled. To reconcile these trends, we describe an Interstate cost function for a planner who minimizes the cost required to deliver a given level of highway services. Using administrative data, we estimate prices for lane miles and pavement quality and evaluate the user cost of the Interstate. User cost fell by half between 1994–2008, largely due to falling interest rates. In this sense, there is no problem with the cost of the Interstate.

This paper studies how immigration status affects crime reporting. I focus on Deferred Action for Early Childhood Arrivals (DACA), a policy that temporarily protects youth from deportation and provides work authorization. For identification, I compare the reporting behavior of victims who are more likely to be undocumented around the policy’s age-eligibility cut-off over time. I find that DACA eligibility increased victims’ likelihood of reporting crimes to the police and provide evidence consistent with DACA reducing victims’ fear of deportation. Overall, the results suggest that immigrant legalization increases engagement with police.

We evaluate the economic impacts of the UK's Eat Out to Help Out (EOTHO) scheme on the food service sector. EOTHO was introduced during the COVID pandemic to stimulate demand by subsidizing the cost of eating out, with a 50 % discount Mondays to Wednesdays in August 2020. We exploit the spatial variation in participation using a continuous difference-in-differences approach and an instrumental variables strategy. We measure the effect on footfall using mobility data from Google and on employment using job posts from Indeed. Our estimates indicate that a one standard deviation increase in exposure to the EOTHO scheme increased footfall in retail & recreation by 2–5 %, and job posts in the food preparation & service industry by 6–8 %. These effects are transitory, and we do not find evidence of large spillover benefits to non-recreational activities or other sectors.

This paper presents a real-estate application of the bunching methodology widely used in other areas of applied microeconomics. The focus is on regulated building heights in New York City, where developers can exceed a parcel’s regulated height by incurring additional costs. Using the bunching methodology, we estimate the magnitude of these extra costs, with the results showing a modest increase in the marginal cost of floor space beyond the regulated building height. We use these estimates to predict the additional floor space that would be created by complete removal of building-height regulation in NYC. While this last exercise is circumscribed by our focus on a limited number of zoning categories, the results suggest that New York could secure notably more housing through lighter height regulation.