In classical traffic flow theory, there are two velocities associated with a given level of traffic flow. Following Vickrey, economists have termed travel at the higher speed congested travel and at the lower speed hypercongested travel. Since the publication of Walters. classic paper, there has...

Under tenancy rent control, rents are regulated within a tenancy but not between tenancies. This paper investigates the effects of tenancy rent control on housing quality and maintenance. Since the discounted revenue received over a fixed-duration tenancy depends only on the starting rent,...

For a quarter century, a top priority in transportation economic theory has been to develop models of rush-hour traffic dynamics that incorporate traffic jams (hypercongestion). The difficulty has been that “proper” models result in mathematical intractabilty, while none of the proposed...

In downtown areas, what proportion of curbside should be allocated to parking? In contrast to most previous work on the economics of parking, this paper focuses on optimal curbside parking capacity in both first-best (where pricing is efficient) and second-best (where pricing is inefficient)...

For many years, Donald Shoup has been advocating cashing out free and underpriced curbside parking. How should this be implemented in practice, taking into account the stochasticity of curbside parking vacancies? Shoup has proposed setting neighborhood/period of the day-specific meter rates such...

We provide new and computationally attractive methods, based on jackknifing by cluster, to obtain cluster-robust variance matrix estimators (CRVEs) for linear regres- sion models estimated by least squares. These estimators have previously been com- putationally infeasible except for small...

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poor. We discuss several ways to improve...

Despite much recent work on the finite-sample properties of estimators and tests for linear regression models with a single endogenous regressor and weak instruments, little attention has been paid to tests for overidentifying restrictions in these circumstances. We study asymptotic tests for...