svysen: Sen (1976) poverty index (EXPERIMENTAL)

In convey: Income Concentration Analysis with Complex Survey Samples

Description

Estimate the Sen (1976) poverty measure.

Usage

svysen(formula, design, ...)

## S3 method for class 'survey.design'
svysen(
  formula,
  design,
  abs_thresh = NULL,
  na.rm = FALSE,
  components = FALSE,
  ...
)

## S3 method for class 'svyrep.design'
svysen(
  formula,
  design,
  abs_thresh = NULL,
  na.rm = FALSE,
  components = FALSE,
  ...
)

## S3 method for class 'DBIsvydesign'
svysen(formula, design, ...)

Arguments

formula	a formula specifying the income variable
design	a design object of class survey.design or class svyrep.design from the survey library.
...	future expansion
abs_thresh	poverty threshold value
na.rm	Should cases with missing values be dropped?
components	Keep estimates of FGT(0), FGT(1), Gini index of poor incomes.

Details

you must run the convey_prep function on your survey design object immediately after creating it with the svydesign or svrepdesign function.

Value

Object of class "cvystat", which are vectors with a "var" attribute giving the variance and a "statistic" attribute giving the name of the statistic.

Note

This function is experimental and is subject to change in later versions.

Author(s)

Guilherme Jacob, Djalma Pessoa and Anthony Damico

References

Amartya K. Sen (1976). Poverty: An Ordinal Approach to Measurement. Econometrica, v. 44, n. 3, pp. 219-231. URL http://www.jstor.org/stable/1912718.

See Also

svysst, svyfgt, svygini.

Examples

library(survey)
library(laeken)
data(eusilc) ; names( eusilc ) <- tolower( names( eusilc ) )

# linearized design

des_eusilc <- svydesign( ids = ~rb030 , strata = ~db040 ,  weights = ~rb050 , data = eusilc )
des_eusilc <- convey_prep( des_eusilc )

# replicate-weighted design
des_eusilc_rep <- as.svrepdesign( des_eusilc , type = "bootstrap" )
des_eusilc_rep <- convey_prep( des_eusilc_rep )

# using linearized design
svysen( ~eqincome, des_eusilc, abs_thresh=10000 )

# using replicate design:
svysen( ~eqincome, des_eusilc_rep, abs_thresh = 10000 )


## Not run: 

# database-backed design
library(RSQLite)
library(DBI)
dbfile <- tempfile()
conn <- dbConnect( RSQLite::SQLite() , dbfile )
dbWriteTable( conn , 'eusilc' , eusilc )

dbd_eusilc <-
	svydesign(
		ids = ~rb030 ,
		strata = ~db040 ,
		weights = ~rb050 ,
		data="eusilc",
		dbname=dbfile,
		dbtype="SQLite"
	)


dbd_eusilc <- convey_prep( dbd_eusilc )

# linearized SE:
svysen(~eqincome, dbd_eusilc, abs_thresh=10000)

dbRemoveTable( conn , 'eusilc' )

dbDisconnect( conn , shutdown = TRUE )


## End(Not run)

convey documentation built on July 1, 2020, 11:44 p.m.