MO {ClaimsProblems} | R Documentation |
Minimal overlap rule
Description
This function returns the awards vector assigned by the minimal overlap rule rule (MO) to a claims problem.
Usage
MO(E, d, name = FALSE)
Arguments
E |
The endowment. |
d |
The vector of claims. |
name |
A logical value. |
Details
Let E\ge 0
be the endowment to be divided and d\in \mathcal{R}^n
the vector of claims
with d\ge 0
and such that \sum_{i=1}^{n} d_i\ge E,\;
the sum of claims exceeds the endowment.
The truncated claim of a claimant i
is the minimum of the claim and the endowment:
t_i(E,d)=t_i=\min\{d_i,E\},\ i=1,\dots,n
Suppose that each agent claims specific parts of E equal to her/his claim. After arranging which parts agents claim so as to “minimize conflict”, equal division prevails among all agents claiming a specific part and each agent receives the sum of the compensations she/he gets from the various parts that he claimed.
Let d_0=0
. The minimal overlap rule is defined, for each problem (E,d)
and each claimant i
, as:
If E\le d_n
then
MO_i(E,d)=\frac{t_1}{n}+\frac{t_2-t_1}{n-1}+\dots+\frac{t_i-t_{i-1}}{n-i+1}.
If E>d_n
let s\in (d_k,d_{k+1}]
, with k\in \{0,1,\dots,n-2\}
,
be the unique solution to the equation \sum_{i \in N} \max\{d_i-s,0\} =E-s
. Then:
MO_i(E,d)=\frac{d_1}{n}+\frac{d_2-d_1}{n-1}+\dots+\frac{d_i-d_{i-1}}{n-i+1}, \ i\in\{1,\dots,k\}
MO_i(E,d)=MO_i(s,d)+d_i-s, \ i\in\{k+1,\dots,n\}.
Value
The awards vector selected by the MO rule. If name = TRUE, the name of the function (MO) as a character string.
References
Mirás Calvo, M.A., Núñez Lugilde, I., Quinteiro Sandomingo, C., and Sánchez-Rodríguez, E. (2021). The adjusted proportional and the minimal overlap rules restricted to the lower-half, higher-half, and middle domains. Working paper 2021-02, ECOBAS.
O'Neill, B. (1982). A problem of rights arbitration from the Talmud. Math. Social Sci. 2, 345-371.
Thomson, W. (2019). How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation. Cambridge University Press.
See Also
Examples
E=10
d=c(2,4,7,8)
MO(E,d)