In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(wbpip)

Background

Povcalnet uses two methods to estimate poverty and inequality statistics from grouped data.
One method is based on fitting a Lorenz Quadratic functional form to the grouped data
the other one uses a Beta Lorenz function

This vignette focuses on the Lorenz Quadratic method.

High level example

# Input definition
welfare_mean    <- 51.56
ppp             <- 3.69
daily_povline   <- 1.9
monthly_povline <- daily_povline * 365 / 12

# Create grouped data (Type 1)
# http://iresearch.worldbank.org/povcalnet/PovCalculator.aspx
population <- c(0.0005,
                0.0032,
                0.014799999999999999,
                0.0443,
                0.0991,
                0.257,
                0.4385,
                0.5938,
                0.7089,
                1)

welfare <- c(5.824760527229386e-05,
             0.000604029410841011,
             0.0037949334793616948,
             0.013988878652244477,
             0.036992164583098786,
             0.12140708906131342,
             0.24531391873082081,
             0.37446670169288321,
             0.48753116241194566,
             1)


# Estimate poverty statistics
wbpip:::gd_compute_pip_stats_lb(welfare         = welfare,
                                population      = population,
                                requested_mean  = welfare_mean,
                                povline         = monthly_povline,
                                default_ppp     = ppp)