gd_compute_watts_lq: Computes Watts Index from Quadratic Lorenz fit
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)

View source: R/gd_compute_pip_stats_lq.R

gd_compute_watts_lq

R Documentation

Computes Watts Index from Quadratic Lorenz fit

Description

gd_compute_watts_lq() computes Watts Index from Quadratic Lorenz fit The first distribution-sensitive poverty measure was proposed in 1968 by Watts It is defined as the mean across the population of the proportionate poverty gaps, as measured by the log of the ratio of the poverty line to income, where the mean is formed over the whole population, counting the nonpoor as having a zero poverty gap.

Usage

gd_compute_watts_lq(
  headcount,
  mu = lifecycle::deprecated(),
  mean = NULL,
  povline,
  dd = 0.01,
  A,
  B,
  C,
  key_values
)

Arguments

`headcount`	numeric: Headcount index. Allows for vector.
`mu`	`mu` is no longer supported. Use instead `mean`
`mean`	numeric: mean of group data distribution
`povline`	numeric: Poverty line.
`dd`	numeric: TO BE DOCUMENTED.
`A`	numeric: Lorenz curve coefficient. Output of `regres_lq()$coef[1]`.
`B`	numeric: Lorenz curve coefficient. Output of `regres_lq()$coef[2]`.
`C`	numeric: Lorenz curve coefficient. Output of `regres_lq()$coef[3]`.
`key_values`	named list: key values for lq fit, calculated using A, B, C parameters using gd_lq_key_values