AA {ClaimsProblems} | R Documentation |
Average of awards rule
Description
This function returns the awards vector assigned by the average of awards rule (AA) to a claims problem.
Usage
AA(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.
A vector x=(x_1,\dots,x_n)
is an awards vector for the claims problem (E,d)
if 0\le x \le d
and satisfies the balance requirement, that is, \sum_{i=1}^{n}x_i=E
the sum of its coordinates is equal to E
.
Let X(E,d)
be the set of awards vectors for (E,d)
.
The average of awards rule assigns to each claims problem (E,d)
the expectation of the uniform distribution defined over the set of awards vectors, that is,
the centroid of X(E,d)
.
Let \mu
be the (n-1)-dimensional Lebesgue measure and V(E,d)=\mu (X(E,d))
the measure (volume) of the set of awards X(E,d)
.
The average of awards rule assigns to each problem (E,d)
the awards vector given by:
AA(E,d)=\frac{1}{V(E,d)}\int_{X(E,d)} x d\mu
The average of awards rule corresponds to the core-center of the associated coalitional (pessimistic) game.
Value
The awards vector selected by the AA rule. If name = TRUE, the name of the function (AA) as a character string.
References
Gonzalez-Díaz, J. and Sánchez-Rodríguez, E. (2007). A natural selection from the core of a TU game: the core-center. International Journal of Game Theory, 36(1), 27-46.
Mirás Calvo, M.Á., Quinteiro Sandomingo, C., and Sánchez-Rodríguez, E. (2022). The average-of-awards rule for claims problems. Soc Choice Welf. doi: 10.1007/s00355-022-01414-6
Mirás Calvo, M.Á., Núñez Lugilde, I., Quinteiro Sandomingo, C., and Sánchez-Rodríguez, E. (2020). An algorithm to compute the core-center rule of a claims problem with an application to the allocation of CO2 emissions. Working paper.
See Also
allrules, CD, setofawards, coalitionalgame
Examples
E=10
d=c(2,4,7,8)
AA(E,d)
#The average of awards rule is self-dual: AA(E,d)=d-AA(D-E,d)
D=sum(d)
d-AA(D-E,d)