deviationindex {ClaimsProblems} | R Documentation |
Deviation index
Description
This function returns the deviation index and the signed deviation index for a rule with respect to another rule.
Usage
deviationindex(E, d, R, S)
Arguments
E |
The endowment. |
d |
The vector of claims. |
R |
A rule : AA, APRO, CE, CEA, CEL, DT, MO, PIN, PRO, RA, Talmud. |
S |
A rule: AA, APRO, CE, CEA, CEL, DT, MO, PIN, PRO, RA, Talmud. |
Details
Let be the endowment to be divided and
the vector of claims
with
and such that
, the sum of claims
exceeds the endowment.
Rearrange the claims from small to large, .
The signed deviation index of the rule
with respect to the rule
for the problem
, denoted by
, is
the ratio of the area that lies between the identity line and the cumulative curve over the total area under the identity line.
Let and
. For each
define
and
. Then
In general .
The deviation index of the rule with respect to the rule
for the problem
, denoted by
, is
the ratio of the area between the line of the cumulative sum of the distribution proposed by the rule
and the cumulative curve over the area under the line
.
In general .
The proportionality deviation index is the deviation index when . The proportionality deviation index of the proportional rule is zero for all claims problems.
The signed proportionality deviation index is the signed deviation index with
.
function of version 0.1.0 returned the the signed proportionality index.
Value
The deviation index and the signed deviation index of a rule for a claims problem.
References
Ceriani, L. and Verme, P. (2012). The origins of the Gini index: extracts from Variabilitá e Mutabilitá (1912) by Corrado Gini. The Journal of Economic Inequality, 10(3), 421-443.
Mirás Calvo, M.Á., Núñez Lugilde, I., Quinteiro Sandomingo, C., and Sánchez Rodríguez, E. (2022). Deviation from proportionality and Lorenz-domination for claims problems. Rev Econ Design. doi: 10.1007/s10058-022-00300-y
See Also
indexgpath, cumawardscurve, lorenzcurve, giniindex, lorenzdominance, allrules.
Examples
E=10
d=c(2,4,7,8)
R=CEA
S=AA
deviationindex(E,d,R,S)
#The deviation index of rule R with respect of the rule R is 0.
deviationindex(E,d,PRO,PRO)