md_compute_polarization: Wolfson polarization index

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

Wolfson polarization index

Description

Compute the Wolfson polarization index for microdata.

Usage

md_compute_polarization(welfare, weight, gini, mean, median)

Arguments

welfare	numeric: A vector of income or consumption values
weight	numeric: A vector of population weights, optional, a vector of 1s if not specified.
gini	numeric: Gini. Output of md_compute_gini().
mean	numeric: A value with the mean. Optional.
median	numeric: Median. Output of md_compute_median().

Value

numeric

References

Ravallion, M., S. Chen. 1996. "What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?". Policy Research Working Paper 1694. World Bank, Washington, DC.

Examples

wbpip:::md_compute_polarization(
  welfare = 1:2000,
  weight = rep(1, 2000),
  gini = 0.4,
  mean = 950,
  median = 1000
)

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