457 research outputs found
The distribution of oportunities: a normative theory
In this paper, we consider the problem of ranking protiles of opportunity sets. First, we take each agent's preferences over (individual) opportunity sets as given. Then, rather than discriminate
among possibly competing evaluative criteria, we consider minimal standards for any such ranking. We impose four normative principies, in each case limiting the conditions under which ethical conclusions might be drawn to only those cases that are unambiguous. The first three principles are subrestrictions of the Pareto criterion; they require that Pareto improvements unambiguously enhance social welfare only when they do not conflict with other social objectives. The fourth principle is a minimal equity condition. It requires that if an agent can be identified as being the worst-off, then a necessary condition for social welfare to unambiguously increase when sorne agents gain is that this agent gains as well, however slightly. We then study the properties of social optima under these restrictions. We show that while optima need not be Pareto efficient, they must be envy-free. Thus, accepting these principies requires commitment to a world in which no agent envies the opportunities available to another
Finding Fair and Efficient Allocations
We study the problem of allocating a set of indivisible goods among a set of
agents in a fair and efficient manner. An allocation is said to be fair if it
is envy-free up to one good (EF1), which means that each agent prefers its own
bundle over the bundle of any other agent up to the removal of one good. In
addition, an allocation is deemed efficient if it satisfies Pareto optimality
(PO). While each of these well-studied properties is easy to achieve
separately, achieving them together is far from obvious. Recently, Caragiannis
et al. (2016) established the surprising result that when agents have additive
valuations for the goods, there always exists an allocation that simultaneously
satisfies these two seemingly incompatible properties. Specifically, they
showed that an allocation that maximizes the Nash social welfare (NSW)
objective is both EF1 and PO. However, the problem of maximizing NSW is
NP-hard. As a result, this approach does not provide an efficient algorithm for
finding a fair and efficient allocation.
In this paper, we bypass this barrier, and develop a pseudopolynomial time
algorithm for finding allocations that are EF1 and PO; in particular, when the
valuations are bounded, our algorithm finds such an allocation in polynomial
time. Furthermore, we establish a stronger existence result compared to
Caragiannis et al. (2016): For additive valuations, there always exists an
allocation that is EF1 and fractionally PO.
Another contribution of our work is to show that our algorithm provides a
polynomial-time 1.45-approximation to the NSW objective. This improves upon the
best known approximation ratio for this problem (namely, the 2-approximation
algorithm of Cole et al. (2017)). Unlike many of the existing approaches, our
algorithm is completely combinatorial.Comment: 40 pages. Updated versio
Dividing bads under additive utilities
We compare the Egalitarian rule (aka Egalitarian Equivalent) and the Competitive rule (aka Comeptitive Equilibrium with Equal Incomes) to divide bads (chores). They are both welfarist: the competitive disutility profile(s) are the critical points of their Nash product on the set of efficient feasible profiles. The C rule is Envy Free, Maskin Monotonic, and has better incentives properties than the E rule. But, unlike the E rule, it can be wildly multivalued, admits no selection continuous in the utility and endowment parameters, and is harder to compute. Thus in the division of bads, unlike that of goods, no rule normatively dominates the other
Deterministic, Strategyproof, and Fair Cake Cutting
We study the classic cake cutting problem from a mechanism design
perspective, in particular focusing on deterministic mechanisms that are
strategyproof and fair. We begin by looking at mechanisms that are non-wasteful
and primarily show that for even the restricted class of piecewise constant
valuations there exists no direct-revelation mechanism that is strategyproof
and even approximately proportional. Subsequently, we remove the non-wasteful
constraint and show another impossibility result stating that there is no
strategyproof and approximately proportional direct-revelation mechanism that
outputs contiguous allocations, again, for even the restricted class of
piecewise constant valuations. In addition to the above results, we also
present some negative results when considering an approximate notion of
strategyproofness, show a connection between direct-revelation mechanisms and
mechanisms in the Robertson-Webb model when agents have piecewise constant
valuations, and finally also present a (minor) modification to the well-known
Even-Paz algorithm that has better incentive-compatible properties for the
cases when there are two or three agents.Comment: A shorter version of this paper will appear at IJCAI 201
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