activity
20212026
collaborators

8 papers

econ.GN2026

Algorithm-Driven Information Similarity and Collective Action: An Experimental Study

Manshu Khanna, Bozhang Xia

We study how the similarity of individuals' information shapes collective action. When people draw on a common source of information, such as social media, each becomes more confid…

econ.GN2025

When Medical AI Explanations Help and When They Harm

Manshu Khanna, Ziyi Wang, Lijia Wei +1

We document a fundamental paradox in AI transparency: explanations improve decisions when algorithms are correct but systematically worsen them when algorithms err. In an experimen…

econ.TH2025

Asylum Assignment and Burden-Sharing

Gian Caspari, Manshu Khanna

We analyze the problem of matching asylum seekers to member states, incorporating wait times, preferences of asylum seekers, and the priorities, capacities, and burden-sharing comm…

econ.TH2025

Reserve Systems with Match-Specific Beneficiaries

Yuan Gao, Xi Jin, Manshu Khanna

We study two-sided matching problems in which the designer regards certain participant--institution matches as socially desirable ('beneficiary matches') and seeks to promote such…

econ.GN2025

Complexity Beyond Incentives: The Critical Role of Reporting Language

Rustamdjan Hakimov, Manshu Khanna

Mechanisms specify both allocation rules and message spaces. We study how message spaces affect behavior in a laboratory assignment environment in which objects are bundles of thre…

econ.TH2025

Visibly Fair Mechanisms

Inácio Bó, Gian Caspari, Manshu Khanna

Priority-based allocation of individuals to positions are pervasive, and elimination of justified envy is often, an absolute requirement. This leaves serial dictatorship (SD) as th…

econ.TH2021

Affirmative Action's Cumulative Fractional Assignments

Haydar Evren, Manshu Khanna

India's reservation policy entitles designated groups to fixed fractions of faculty positions. Positions are indivisible, arrive over time across departments, and appointments are…

econ.TH2021

Non-Standard Choice in Matching Markets

Gian Caspari, Manshu Khanna

We explore the possibility of designing matching mechanisms that can accommodate non-standard choice behavior. We pin down the necessary and sufficient conditions on participants'…