Searcharxiv⌕ Search

arXiv · 2610.10131

Selective Verification in Centralized Admissions: Which Priority Claims Must Be Checked?

Abstract

Centralized admissions platforms grant priority based on self-reported facts such as residence, sibling status, or family income, and a false claim can cost another applicant her seat. Verifying every claim before matching is expensive, yet checking only admitted applicants afterward is unsafe: a false claim by an applicant who ends up unmatched may already have triggered a chain of rejections. We show how a platform can check far fewer claims without changing any outcome. A claim matters only if it can move its applicant across a school's admission cutoff, and we give an exact, easily computed test for when this happens. Checking only such claims, and only when they could change a school's tentative choice, reproduces every application, rejection, and assignment of deferred acceptance under full verification. When claims are truthful, checking the highest claimed priority first minimizes checks among such policies at each school decision, and the number of checks never exceeds the school's capacity. Truthful reporting of preferences and eligibility is a weakly dominant strategy, so incentives deliver the conditions under which this audit order is optimal. In simulated markets, the policy cuts verification by 76 percent relative to checking every claim upfront and by 36 percent relative to checking each claim when it first reaches a school. The design principle is to verify decisions, not files.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Varun Bansal, Sinan Ertemel, Rajnish Kumar, Anh Pham. 2026-10-07. Selective Verification in Centralized Admissions: Which Priority Claims Must Be Checked?. https://arxiv.org/abs/2610.10131

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Learning about informativeness

We study whether individuals can learn the informativeness of their information technology through social learning. As in the classic sequential social learning model, rational agents arrive in order and make decisions based on the past actions of others and their private signals. There is uncertainty regarding the informativeness of the common signal-generating process. We show that in this setting asymptotic learning about informativeness is not guaranteed and depends crucially on the relative tail distributions of private beliefs induced by uninformative and informative signals. We identify the phenomenon of perpetual disagreement as the cause of learning and characterize learning in the canonical Gaussian environment.

econ.TH↗

Justifiable Priority Violations

Making Deferred Acceptance more efficient requires priority violations, but which ones are justifiable? We argue that a priority can be justifiably violated if the affected student either (i) directly benefits from the improvement that caused said violation, or (ii) is unimprovable under any assignment that Pareto-dominates DA. We construct a ``just-below-cutoffs'' mechanism that always finds a justifiable DA-improvement whenever DA's outcome is inefficient, and build on it to construct an algorithm that expands justifiable improvements iteratively, converging to a matching that cannot be Pareto-improved by any justifiable outcome. Finally, we prove that both justifiability and consent frameworks have important limitations in reaching Pareto-efficient outcomes, and use data and simulations to quantify how binding these constraints are in practice.

econ.TH↗

The Empirical Content of Reputation Effects

I revisit the classic reputation model in which a long-lived player, either normal or committed, faces short-lived players who may misspecify the commitment-type signal process. I show that the long-lived player's patience makes reputation powerful but leaves its value sensitive both to short-lived players' subjective commitment-type signal process and to discounting. Every subjective process is arbitrarily close over any fixed horizon to processes eliminating his reputation gains and also to processes preserving them. Moreover, generically, all equilibria yield substantial gains along some discount-factor sequences approaching one, while even the best equilibrium yields no positive gain in the limit along others.

econ.TH↗