FuzzyPovertyR (version 3.0.2)

eq_predicate: Calculation of Equivalized Poverty Predicate

Description

This function takes as input a numeric vector representing a predicate variable and turns it into its equivalised version using different equivalence scales.

Usage

eq_predicate(
  predicate,
  ncomp,
  age = NULL,
  scale.eq = "modifiedOECD",
  newscale,
  data = NULL
)

Value

A data.frame containing the equivalised predicate variable.

Arguments

predicate

A numeric vector (or the variable name) representing the poverty predicate (i.e. income or expenditure)

ncomp

A numerical vector (or the variable name) of the total number of components for the j-th family.

age

A numerical vector (or the variable name) of the number of components for the j-th family less than 16 years-old to be defined only for OECD scales

scale.eq

The equivalence scale. Options are: "carbonaro", "n.par" (non parametric), "OECD7050", "modifiedOECD" (Default) or "new"

newscale

a data.frame with two columns: "ncomp" defining the number of components and "s.eq" that define the corresponding

data

An optional data frame containing the variables to be used

References

Bernini, C., Emili, S., & Ferrante, M. R. (2024). Regional disparities in the sensitivity of wellbeing to poverty measures. In Spatial Inequalities and Wellbeing (pp. 136-157). Edward Elgar Publishing.

Betti, G. (1999). Nonparametric equivalence scales with application to Poland. Statistics Research Report.

Chanfreau, J., & Burchardt, T. (2008). Equivalence scales: rationales, uses and assumptions. Edinburgh: Scottish Government.

Examples

#Using OECD scale

eq_predicate(predicate = "HY022", ncomp = "ncomp", age = "age16",
             scale.eq = "OECD7050", data = eusilc) #OECD7050

eq_predicate(predicate = "HY022", ncomp = "ncomp", age = "age16",
             scale.eq = "modifiedOECD", data = eusilc) #modifiedOECD

#Define a new scale

newscal <- data.frame("ncomp" = c(1:7), "s.eq" = runif(7,1,10) ) # new


eq_predicate(predicate = "HY022", ncomp = "ncomp", scale.eq = "new",
             newscale = newscal, data = eusilc)