Inequality, Welfare and Poverty Indices and Curves using the EU-SILC Data

R tools to measure and compare inequality, welfare and poverty using the EU statistics on income and living conditions surveys.


rtip is an R package containing tools to measure and compare inequality, welfare and poverty using the EU statistics on income and living conditions surveys (EU-SILC).

The package also estimates the ordinates of the Generalized Lorenz
and TIP curves. Furthermore, some tests are implemented to study the dominance of two income distributions from Generalized Lorenz and TIP curves.

The development version from github:

# install.packages("devtools")
devtools::install_github("AngelBerihuete/rtip")

There are many inequality and poverty indicators coded in the package. For instance, in order to estimate the poverty rate which is defined as the share of people with an equivalized disposable income below the at-risk-of-poverty threshold:

library(rtip)
data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT", s = "OECD")
arpr(ATdataset,arpt.value = arpt(ATdataset))

The package also has a function to make a statistical test to study Generalized Lorenz dominance from sample Generalized Lorenz curve estimates:

library(rtip)
data(eusilc2)
ATdataset1 <- setupDataset(eusilc2, country = "AT", region = "Burgenland")
ATdataset2 <- setupDataset(eusilc2, country = "AT", region = "Carinthia")
testGL(ATdataset1, ATdataset2, generalized = TRUE, samplesize = 10)

It is possible to do the previous study also with TIP curves:

data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT")
ATdataset1 <- setupDataset(eusilc2, country = "AT", region = "Burgenland")
ATdataset2 <- setupDataset(eusilc2, country = "AT", region = "Carinthia")
testTIP(ATdataset1, ATdataset, same.arpt.value = arpt(ATdataset))

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Reference manual

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install.packages("rtip")

1.0.0 by Angel Berihuete, a year ago


Browse source code at https://github.com/cran/rtip


Authors: Angel Berihuete [aut, cre], Carmen Dolores Ramos [aut], Miguel Angel Sordo [aut]


Documentation:   PDF Manual  


GPL-3 license


Depends on ggplot2, boot, mvtnorm, plyr


See at CRAN