prod_gd_compute_pip_stats_lq: Computes poverty statistics (Lorenz quadratic, prod)

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

Computes poverty statistics (Lorenz quadratic, prod)

Description

Compute poverty statistics for grouped data using the quadratic functional form of the Lorenz curve.

Usage

prod_gd_compute_pip_stats_lq(
  welfare,
  povline,
  population,
  requested_mean,
  popshare = NULL,
  default_ppp = NULL,
  ppp = NULL,
  p0 = 0.5
)

Arguments

welfare	numeric: Cumulative proportion of welfare held by that proportion of the population (Lorenz Curve).
povline	numeric: Poverty line.
population	numeric: Cumulative proportion of population.
requested_mean	numeric: Welfare mean.
popshare	numeric: Share of population living below the poverty line. Optional.
default_ppp	numeric: Default purchasing power parity.
ppp	numeric: PPP request by user.
p0	numeric: TO BE DOCUMENTED.

Details

Version used in production.

Value

list

Examples

# Set initial parameters
L <- c(
  0.00208, 0.01013, 0.03122, 0.07083, 0.12808, 0.23498, 0.34887,
  0.51994, 0.6427, 0.79201, 0.86966, 0.91277, 1
)
P <- c(
  0.0092, 0.0339, 0.085, 0.164, 0.2609, 0.4133, 0.5497, 0.7196,
  0.8196, 0.9174, 0.957, 0.9751, 1
)
mu <- 109.9 # mean
z <- 89 # poverty line

res <- wbpip:::prod_gd_compute_pip_stats_lq(
  welfare = L,
  population = P,
  requested_mean = mu,
  povline = z
)
res$headcount

res2 <- wbpip:::prod_gd_compute_pip_stats_lq(
  welfare = L,
  population = P,
  requested_mean = mu,
  popshare = res$headcount
)
res2$povline

PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.