svychu | R Documentation |

Estimate the Clark, Hemming and Ulph (1981) class of poverty measures

svychu(formula, design, ...) ## S3 method for class 'survey.design' svychu( formula, design, g, type_thresh = "abs", abs_thresh = NULL, percent = 0.6, quantiles = 0.5, na.rm = FALSE, thresh = FALSE, ... ) ## S3 method for class 'svyrep.design' svychu( formula, design, g, type_thresh = "abs", abs_thresh = NULL, percent = 0.6, quantiles = 0.5, na.rm = FALSE, thresh = FALSE, ... ) ## S3 method for class 'DBIsvydesign' svychu(formula, design, ...)

`formula` |
a formula specifying the income variable |

`design` |
a design object of class |

`...` |
passed to |

`g` |
A parameter where (1 - g) defines the inequality aversion among the poor. If g = 0, the CHU class becomes a monotonic transform of the Watts poverty measure. |

`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

Vijay Verma and Gianni Betti (2011). Taylor linearization sampling errors and design effects for poverty measures
and other complex statistics. *Journal Of Applied Statistics*, Vol.38, No.8, pp. 1549-1576,
<doi:10.1080/02664763.2010.515674>

Anthony B. Atkinson (1987). On the measurement of poverty.
*Econometrica*, Vol.55, No.4, (Jul., 1987), pp. 749-764,
URL https://www.jstor.org/stable/1911028.

Stephen Clark, Richard Hemming and David Ulph (1981). On Indices
for the Measurement of Poverty. *The Economic Journal*, Vol.91, No.362, (Jun., 1981), pp. 515-526,
URL https://www.jstor.org/stable/2232600.

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.

`svywatts`

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 svychu(~eqincome, des_eusilc, g=1, abs_thresh=10000) # poverty threshold equal to arpt svychu(~eqincome, des_eusilc, g=1, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svychu(~eqincome, des_eusilc, g=1, type_thresh= "relm" , thresh = TRUE) # using svrep.design: # absolute poverty threshold svychu(~eqincome, des_eusilc_rep, g=1, abs_thresh=10000) # poverty threshold equal to arpt svychu(~eqincome, des_eusilc_rep, g=1, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svychu(~eqincome, des_eusilc_rep, g=1, 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 svychu(~eqincome, dbd_eusilc, g=1, abs_thresh=10000) # poverty threshold equal to arpt svychu(~eqincome, dbd_eusilc, g=1, type_thresh= "relq" , thresh = TRUE) # poverty threshold equal to 0.6 times the mean svychu(~eqincome, dbd_eusilc, g=1, type_thresh= "relm" , thresh = TRUE) dbRemoveTable( conn , 'eusilc' ) dbDisconnect( conn , shutdown = TRUE ) ## End(Not run)

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