This paper presents a downtown parking model that integrates traffic congestion and saturated on-street parking. We … assume that the stock of cars cruising for parking adds to traffic congestion. Two major results come out from the model, one … of which is robust. The robust one is that, whether or not the amount of on-street parking is optimal, it is efficient to …

A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …

algorithm herself, her equity preference has no effect on the training procedure. So long as the data, however biased, contain … signal, they will be used and the learning algorithm will be the same. Equity preferences alone provide no reason to alter …

structure is relevant in many applications. We develop the theory underlying optimal menus of non-linear schedules and prove …

We study response behavior of New York City parking-ticket recipients by analyzing administrative data on 6.6 million …

essentially zero legal enforcement of diplomatic parking violations, allowing us to examine the role of cultural norms alone. This … survey-based indices) have significantly more parking violations, and these differences persist over time. In a second main … significantly more parking violations, providing non-laboratory evidence on sentiment in economic decision-making. Taken together …

This paper develops a framework for estimating preferences in two-sided matching markets with non-transferable utility … with many-to-one matching. These methods allow me to investigate two issues concerning the centralized market for medical … increasing the number of residents training in rural areas while accounting for general equilibrium effects from the matching …