Narrow Results

We explore the relationship between proportionality and manipulation (via merging or splitting agents' claims) in bankruptcy problems. We provide an alternative proof to the well-known result that, in an unrestricted domain, immunity to manipulation is equivalent to requiring proportional division. We show that this result also holds for restricted (but sufficiently rich) domains, such as the domain of simple problems and the domain of zero-normalized problems. Finally, we characterize two adjustments of the proportional rule by combining non-manipulabilty on these domains and the usual axioms of independence of claims truncation and composition from minimal rights.

In this paper, we study the immunity of bankruptcy rules to manipulation via merging or splitting agents' claims. We focus on the TAL-family of bankruptcy rules (Moreno-Ternero & Villar, 2005), a one-parameter family encompassing three classical rules: the Talmud (T) rule, the constrained equal-awards (A) rule and the constrained equal-losses (L) rule. We show that all rules within the TAL-family are partially non-manipulable and identify the domain of problems where each rule is either non-manipulable by merging or non-manipulable by splitting. We also show that they can be ranked in terms of their relative non-manipulability, according to the parameter that generates the family.

In this paper, we study the immunity of bankruptcy rules to manipulation via merging or splitting agents' claims. We focus on the TAL-family of bankruptcy rules (Moreno-Ternero & Villar, 2006), a one-parameter family encompassing three classical rules: the Talmud (T) rule, the constrained equal-awards (A) rule and the constrained equal-losses (L) rule. We show that all rules within the TAL-family are partially non-manipulable and identify the domain of problems where each rule is either non-manipulable by merging or non-manipulable by splitting. We also show that they can be ranked in terms of their relative non-manipulability, according to the parameter that generates the family.