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 be the endowment to be divided and
the vector of claims
with
and such that
the sum of claims exceeds the endowment.
A vector is an awards vector for the claims problem
if
and satisfies the balance requirement, that is,
the sum of its coordinates is equal to
.
Let
be the set of awards vectors for
.
The average of awards rule assigns to each claims problem
the expectation of the uniform distribution defined over the set of awards vectors, that is,
the centroid of
.
Let be the (n-1)-dimensional Lebesgue measure and
the measure (volume) of the set of awards
.
The average of awards rule assigns to each problem
the awards vector given by:
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)