fm_ZBM {FuzzyPovertyR}R Documentation

Fuzzy monetary poverty estimation

Description

Fuzzy monetary poverty estimation

Usage

fm_ZBM(predicate, hh.size, weight, breakdown, ID)

Arguments

predicate

A numeric vector of a predicate variable (or poverty predicate)

hh.size

A numeric vector with the size of the household

weight

A numeric vector of sampling weights. if NULL simple random sampling weights will be used

breakdown

A factor of sub-domains to calculate estimates for (using the same alpha).

ID

A numeric or character vector of IDs. if NULL (the default) it is set as the row sequence.

Value

The membership grades for each poverty state

References

Zedini, A., & Belhadj, B. (2015). A New Approach to Unidimensional Poverty Analysis: Application to the Tunisian Case. Review of Income and Wealth, 61(3), 465-476. Belhadj, B., & Matoussi, M. S. (2010). Poverty in tunisia: A fuzzy measurement approach. Swiss Journal of Economics and Statistics, 146(2), 431-450.


[Package FuzzyPovertyR version 2.0.1 Index]