svywatts | R Documentation |
Estimate the Watts (1968) poverty measure
svywatts(formula, design, ...) ## S3 method for class 'survey.design' svywatts( formula, design, type_thresh = "abs", abs_thresh = NULL, percent = 0.6, quantiles = 0.5, na.rm = FALSE, thresh = FALSE, ... ) ## S3 method for class 'svyrep.design' svywatts( formula, design, type_thresh = "abs", abs_thresh = NULL, percent = 0.6, quantiles = 0.5, na.rm = FALSE, thresh = FALSE, ... ) ## S3 method for class 'DBIsvydesign' svywatts(formula, design, ...)
formula |
a formula specifying the income variable |
design |
a design object of class |
... |
passed to |
type_thresh |
type of poverty threshold. If "abs" the threshold is fixed and given the value of abs_thresh; if "relq" it is given by percent times the quantile; if "relm" it is percent times the mean. |
abs_thresh |
poverty threshold value if type_thresh is "abs" |
percent |
the multiple of the the quantile or mean used in the poverty threshold definition |
quantiles |
the quantile used used in the poverty threshold definition |
na.rm |
Should cases with missing values be dropped? |
thresh |
return the poverty threshold value |
you must run the convey_prep
function on your survey design object immediately after creating it with the svydesign
or svrepdesign
function.
Object of class "cvystat
", which are vectors with a "var
" attribute giving the variance and a "statistic
" attribute giving the name of the statistic.
This function is experimental and is subject to change in later versions.
Guilherme Jacob, Djalma Pessoa and Anthony Damico
Harold W. Watts (1968). An economic definition of poverty. Institute For Research on Poverty Discussion Papers, n.5. University of Wisconsin. URL https://www.irp.wisc.edu/publications/dps/pdfs/dp568.pdf.
Guillaume Osier (2009). Variance estimation for complex indicators of poverty and inequality. Journal of the European Survey Research Association, Vol.3, No.3, pp. 167-195, ISSN 1864-3361, URL https://ojs.ub.uni-konstanz.de/srm/article/view/369.
Jean-Claude Deville (1999). Variance estimation for complex statistics and estimators: linearization and residual techniques. Survey Methodology, 25, 193-203, URL https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X19990024882.
svyarpt
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 ) # absolute poverty threshold svywatts(~eqincome, des_eusilc, abs_thresh=10000) # poverty threshold equal to arpt svywatts(~eqincome, des_eusilc, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svywatts(~eqincome, des_eusilc, type_thresh= "relm" , thresh = TRUE) # using svrep.design: # absolute poverty threshold svywatts(~eqincome, des_eusilc_rep, abs_thresh=10000) # poverty threshold equal to arpt svywatts(~eqincome, des_eusilc_rep, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svywatts(~eqincome, des_eusilc_rep, type_thresh= "relm" , thresh = TRUE) ## 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 ) # absolute poverty threshold svywatts(~eqincome, dbd_eusilc, abs_thresh=10000) # poverty threshold equal to arpt svywatts(~eqincome, dbd_eusilc, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svywatts(~eqincome, dbd_eusilc, type_thresh= "relm" , thresh = TRUE) dbRemoveTable( conn , 'eusilc' ) dbDisconnect( conn , shutdown = TRUE ) ## End(Not run)
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