Inequality, Poverty and Welfare

For the fourth cours on Inequalities, we will get back on the quantile regression, and discuss welfare functions as well as poverty indices. Slides are now online

To illustrate, we will use the following datasets

uk88 <- read.csv("http://www.vcharite.univ-mrs.fr/pp/lubrano/cours/fes88.csv",sep=";",header=FALSE)$V1
uk92 <- read.csv("http://www.vcharite.univ-mrs.fr/pp/lubrano/cours/fes92.csv",sep=";",header=FALSE)$V1
uk96 <- read.csv("http://www.vcharite.univ-mrs.fr/pp/lubrano/cours/fes96.csv",sep=";",header=FALSE)$V1
cpi <- c(421.7, 546.4, 602.4)
y88 <- uk88/cpi[1]
y92 <- uk92/cpi[2]
y96 <- uk96/cpi[3]

and for the part on applications of quantile regression

salary <- read.table("http://data.princeton.edu/wws509/datasets/salary.dat",header=TRUE)


Cite this blog post
Arthur Charpentier (2015, February 4). Inequality, Poverty and Welfare. Freakonometrics. Retrieved May 21, 2024, from https://doi.org/10.58079/ouyg

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