works on

From the 1 of 5 linked papers with an AI index.

most citedThe Distribution of Envy in Matching Markets

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.GT2026

Efficiency Adjustments Break the Logarithmic Rank Barrier

Josue Ortega, Geng Zhao, Gabriel Ziegler

We study the expected average rank achieved by the Efficiency-Adjusted Deferred Acceptance (EADA) mechanism in i.i.d.\ matching markets. While student-proposing Deferred Acceptance…

econ.TH2026

The Large and Likely Inefficiency of Stable Matching Mechanisms

Josue Ortega, Gabriel Ziegler, R. Pablo Arribillaga +1

The paper demonstrates that in large random matching markets, any stable matching—such as the student‑proposing Deferred Acceptance algorithm—is almost surely Pareto‑inefficient, w…

econ.TH2026

Reasoning about Bounded Reasoning

Shuige Liu, Gabriel Ziegler

In experimental applications of bounded-reasoning models, behavior is often summarized by distributions of "levels". We argue that such summaries conflate two conceptually distinct…

econ.TH20261 cited

The Distribution of Envy in Matching Markets

Josué Ortega, Gabriel Ziegler, R. Pablo Arribillaga +1

We study the distribution of envy in random matching markets under the Deferred Acceptance (DA) algorithm. Using tools from applied probability, we compute the expected number of p…

econ.TH2025

What Pareto-Efficiency Adjustments Cannot Fix

Josue Ortega, Gabriel Ziegler, R. Pablo Arribillaga +1

The Deferred Acceptance (DA) algorithm is stable and strategy-proof, but can produce outcomes that are Pareto-inefficient for students, and thus several alternative mechanisms have…