Complexity Beyond Incentives: The Critical Role of Reporting Language
Rustamdjan Hakimov, Manshu Khanna

TL;DR
This paper investigates how reporting interfaces and mechanisms affect the accuracy of preference reporting in assignment systems, highlighting the advantages of sequential choice over traditional ranking methods.
Contribution
It introduces a comparison of reporting interfaces and mechanisms, demonstrating the superiority of sequential choice in accuracy and efficiency in complex preference settings.
Findings
Substantial misreporting occurs even with pure accuracy incentives.
Serial dictatorship mechanisms lead to additional reporting mistakes.
Sequential choice achieves higher accuracy and efficiency.
Abstract
Many assignment systems require applicants to rank multi-attribute bundles (e.g., programs combining institution, major, and tuition). We study whether this reporting task is inherently difficult and how reporting interfaces affect accuracy and welfare. In laboratory experiments, we induce preferences over programs via utility over attributes, generating lexicographic, separable, or complementary preferences. We compare three reporting interfaces for the direct serial dictatorship mechanism: (i) a full ranking over programs; (ii) a lexicographic-nesting interface; and (iii) a weighted-attributes interface, the latter two eliciting rankings over attributes rather than programs. We also study the sequential serial dictatorship mechanism that is obviously strategy-proof and simplifies reporting by asking for a single choice at each step. Finally, we run a baseline that elicits a full…
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Taxonomy
TopicsGame Theory and Voting Systems · Experimental Behavioral Economics Studies · Auction Theory and Applications
