CEL {ClaimsProblems}R Documentation

Constrained equal losses rule

Description

This function returns the awards vector assigned by the constrained equal losses rule (CEL) to a claims problem.

Usage

CEL(E, d, name = FALSE)

Arguments

E

The endowment.

d

The vector of claims.

name

A logical value.

Details

Let E0E\ge 0 be the endowment to be divided and let dRnd\in \mathcal{R}^n be the vector of claims with d0d\ge 0 and such that i=1ndiE,\sum_{i=1}^{n} d_i\ge E, the sum of claims exceeds the endowment.

The constrained equal losses rule (CEL) equalizes losses under the constraint that no award is negative. Then, claimant ii receives the maximum of zero and the claim minus a number λ0\lambda \ge 0 chosen so as to achieve balance.

CELi(E,d)=max{0,diλ}, i=1,,n, such that i=1nCELi(E,d)=E.CEL_i(E,d)=\max\{0,d_i-\lambda\},\ i=1,\dots,n, \ such \ that \ \sum_{i=1}^n CEL_i(E,d)=E.

CEA and CEL are dual rules.

Value

The awards vector selected by the CEL rule. If name = TRUE, the name of the function (CEL) as a character string.

References

Maimonides, Moses, 1135-1204. Book of Judgements, Moznaim Publishing Corporation, New York, Jerusalem (Translated by Rabbi Elihahu Touger, 2000).

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

allrules, CEA

Examples

E=10
d=c(2,4,7,8)
CEL(E,d)
# CEL and CEA are dual: CEL(E,d)=d-CEA(D-E,d)
D=sum(d)
d-CEA(D-E,d)

[Package ClaimsProblems version 0.2.1 Index]