lorenzcurve {ClaimsProblems} | R Documentation |
The Lorenz curve
Description
This function returns the Lorenz curve of any rule for a claims problem.
Usage
lorenzcurve(E, d, Rules, col = NULL, legend = TRUE)
Arguments
E |
The endowment. |
d |
The vector of claims. |
Rules |
The rules: AA, APRO, CE, CEA, CEL, DT, MO, PIN, PRO, RA, Talmud. |
col |
The colours. If col=NULL then the sequence of default colors is: c("red", "blue", "green", "yellow", "pink", "coral4", "darkgray", "burlywood3", "black", "darkorange", "darkviolet"). |
legend |
A logical value. The colour legend is shown if legend=TRUE. |
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 Lorenz curve represents the proportion of the awards given to each subset of claimants by a specific rule
as a function of the
cumulative distribution of population.
The Lorenz curve of a rule for the claims problem
is the polygonal path connecting the
points
Basically, it represents the cumulative percentage of the endowment assigned by the rule to each cumulative percentage of claimants.
Value
The graphical representation of the Lorenz curve of a rule (or several rules) for a claims problem.
References
Lorenz, M. O. (1905). Methods of measuring the concentration of wealth. Publications of the American statistical association, 9(70), 209-219.
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
giniindex, cumawardscurve, deviationindex, indexgpath, lorenzdominance.
Examples
E=10
d=c(2,4,7,8)
Rules=c(AA,RA,Talmud,CEA,CEL)
col=c("red","blue","green","yellow","pink")
lorenzcurve(E,d,Rules,col)