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S. Tijs, R. Branzei, Stefano Moretti, H. Norde (2004)
Obligation Rules for Minimum Cost Spanning Tree Situations and Their Monotonicity PropertiesManagement Practice
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A new stable and more responsible cost sharing solution for mcst problems
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Recall that F * i (A * ) is the set of followers of i under the mca A *
Eric Bahel, Christian Trudeau (2014)
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V. Feltkamp, S. Tijs, S. Muto (1994)
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Christian Trudeau (2013)
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G. Bergantiños, Anirban Kar (2010)
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S Tijs, R Branzei, S Moretti, H Norde (2006)
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Eric Bahel (2016)
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Observe thatc =ĉ + i∈N α i [s * (i)i] is the matrix obtained fromĉ by increasing the cost of the cheapest connection to every i ∈ N , from zero the the second-minimum cost to i
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G. Bergantiños, J. Vidal-Puga (2009)
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The paper examines minimum cost arborescence (mca) problems, which generalize the well-known minimum cost spanning tree (mcst) problems by allowing the cost to depend on the direction of the flow. We propose a new family of cost sharing methods that are easy to compute, as they closely relate to the network-building algorithm. These methods are called minimum incoming cost rules for arborescences (MICRAs). They include as a particular case the extension of the folk solution introduced by Dutta and Mishra [Games Econ Behav 74(1):120–143, 2012], providing a simple procedure for its computation. We also provide new axiomatizations of (a) the set of stable and symmetric MICRAs and (b) the Dutta–Mishra solution. Finally, we closely examine two MICRAs that (unlike the Dutta–Mishra rule) compensate agents who help others connect at a lower cost. The first of these two rules relates to the cycle-complete solution for mcst problems introduced by Trudeau [Games Econ Behav 75(1):402–412, 2012].
Social Choice and Welfare – Springer Journals
Published: May 31, 2017
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