[ [] (http://cran.r-project.org/package=rtip)
rtip is an R package containing tools to measure and compareinequality, welfare and poverty using the EU statistics on income andliving conditions surveys (EU-SILC).
The package also estimates the ordinates of the GeneralizedLorenz
and TIP curves. Furthermore, some tests are implemented to study thedominance of two income distributions from Generalized Lorenz and TIPcurves.
The development version from github:
# install.packages("devtools")devtools::install_github("AngelBerihuete/rtip")There are many inequality and poverty indicators coded in thepackage. For instance, in order to estimate the poverty rate which isdefined as the share of people with an equivalized disposable incomebelow the at-risk-of-poverty threshold:
library(rtip)data(eusilc2)ATdataset<-setupDataset(eusilc2,country ="AT")arpr(ATdataset,arpt.value =arpt(ATdataset))The package also has a function to make a statistical test to studyGeneralized Lorenz dominance from sample Generalized Lorenz curveestimates:
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))A BibTeX entry for LaTeX users is
@Manual{,title = {rtip: Inequality, Welfare and Poverty Indices and Curves using theEU-SILC Data},author = {Angel Berihuete and Carmen Dolores Ramos and Miguel Angel Sordo},year = {2016},note = {R package version 1.0.0},url = {https://CRAN.R-project.org/package=rtip}, }