Research
Working papers
House-Swapping with Objective Indifferences (with Andrew Tai)
[pdf] [arXiv] [click for abstract]
We study the classic house-swapping problem of Shapley and Scarf (1974) in a setting where agents may have "objective" indifferences, i.e., indifferences that are shared by all agents. In other words, if any one agent is indifferent between two houses, then all agents are indifferent between those two houses. The most direct interpretation is the presence of multiple copies of the same object. Our setting is a special case of the house-swapping problem with general indifferences. We derive a simple, easily interpretable algorithm that produces the unique strict core allocation of the house-swapping market, if it exists. Our algorithm runs in square-polynomial time, a substantial improvement over the cubed time methods for the more general problem.
Works in progress
Why Do Legislators Form Links? Network Analysis on the House (with Kevin Dano and Andrew Tai)
Learning(?) in Strategy-Proof Mechanisms (with Andrew Tai)