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Calculate Gini Coefficient Using DHS Brown Formula Methodology

Source: R/indicator_wealth.R
calculate_dhs_gini.Rd

Calculates the Gini coefficient for wealth inequality following the DHS methodology. Uses the Brown formula with configurable number of wealth groups (default 100) to provide a standardized measure of inequality.

Usage

calculate_dhs_gini(wealth_scores, weights, population, n_groups = 100)

Arguments

wealth_scores

Numeric vector of wealth index factor scores (hv271).

weights

Numeric vector of survey sampling weights.

population

Numeric vector of household population sizes (de jure members).

n_groups

Integer specifying the number of wealth groups for calculation (default: 100, following DHS methodology).

Value

Numeric Gini coefficient value between 0 (perfect equality) and 1 (maximum inequality). Returns NA_real_ if insufficient data.

Examples

# Example with synthetic data
wealth_scores <- rnorm(100, mean = 0, sd = 1)
weights <- rep(1, 100)
population <- sample(3:8, 100, replace = TRUE)

gini <- calculate_dhs_gini(wealth_scores, weights, population)