*! version 1.1.0 18nov2012

help for svyrichMichal Brzezinski (November 2012)

Title

svyrich -- Compute richness indices and their standard errors from survey data

Syntax

svyrich varname [if] [in] [, rline(#)
stat(string)
perc(#)
mult(#)]

Data must be svyset before using this command; see svyset.

Description

svyrich computes distributionally-sensitive richness indices and their standard errors.
For formulas to compute richness indices, see Peichl et al. (2010). Asymptotic variance
for richness indices is computed using methods introduced in Brzeinski (2011).
The command allows to compute standard errors of richness indices with 1) fixed richness line;
2) richness line estimated from the sample as a multiple of the mean or median value.
The command takes into account the sampling design of a survey and for this reason the
data must be svyset before the command is used.

Options

rline(#) specifies the value of the fixed richness line.

stat(string) is used when poverty line is estimated
from the data and takes one of two values: 1) "pct" - percentile; 2) "mean" - mean.

perc(#) specifies the value of the percentile on which
the richness line when estimated from data is based. It takes values between 0 and 100.

mult(#) specifies the value by which the mean or a percentile
is multiplied when richness line is defined as a multiple of the mean or the percentile.

Examples

. svyrich income, rline(2000)

. svyrich income, stat("pct") perc(50) mult(3)

. svyrich income, stat("mean") mult(2)

References

Andreas Peichl & Thilo Schaefer & Christoph Scheicher, 2010.
"Measuring Richness And Poverty: A Micro Data Application To Europe And Germany,"
Review of Income and Wealth, , vol. 56(3), p. 597-619.

Michal Brzezinski, 2011.
Variance estimation for richness measures.
LWS Working Papers 11.

Also see

Online: help for richness, if installed.

Author

Michal Brzezinski <mbrzezinski@wne.uw.edu.pl>, Faculty of Economic Sciences, University of Warsaw, Poland.