Characterizing the top trading cycles rule for housing markets with lexicographic preferences
Bettina Klaus

TL;DR
This paper characterizes the top trading cycles rule in housing markets with lexicographic preferences, extending classical models and showing the limitations of rule existence under broader preference domains.
Contribution
It extends the characterization of the TTC rule to models with demand and supply lexicographic preferences and identifies non-existence results when preferences are more general.
Findings
Characterization of TTC rule with demand lexicographic preferences
Extension of classical results to new preference domains
Non-existence of strategy-proof, individually rational, efficient rules in broader domains
Abstract
We consider a housing market model with limited externalities where agents care both about their own consumption via demand preferences and about the agent who receives their endowment via supply preferences (we extend the associated lexicographic preference domains introduced in Klaus and Meo, 2023). If preferences are demand lexicographic, then our model extends the classical Shapley-Scarf housing market (Shapley and Scarf, 1974) with strict preferences model. Our main result is a characterization of the corresponding top trading cycles (TTC) rule by individual rationality, pair efficiency, and strategy-proofness (Theorem 1), which extends that of Ekici (2024) from classical Shapley-Scarf housing markets with strict preferences to our model. Two further characterizations are immediately obtained by strengthening pair efficiency to either Pareto efficiency or pairwise stability…
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Taxonomy
TopicsStock Market Forecasting Methods
