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Computes Watts Index from Quadratic Lorenz fit

Source: R/gd_compute_pip_stats_lq.R
gd_compute_watts_lq.Rd

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

[Deprecated] 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

Value

numeric