NOTE: If you want to see the design effect or the misspecification effect, use estat effects after the command. To get the coefficient of variation, use estat cv.
This example is taken from Lehtonen and Pahkinen’s Practical Methods for Design and Analysis of Complex Surveys, page 46 Table 2.6 Estimates from a systematic sample drawn from the Province’91 population using implicit stratification.
input id str clu wt ue91 lab91 1 1 1 4 4123 33786 2 1 5 4 721 4930 3 2 9 4 194 2069 4 2 13 4 129 927 5 2 17 4 239 2144 6 2 21 4 61 573 7 2 25 4 262 1737 8 2 29 4 166 1615 end
gen fpc1 = 8/32
svyset clu [pweight=wt], strata(str) fpc(fpc1)
pweight: wt
VCE: linearized
Single unit: missing
Strata 1: str
SU 1: clu
FPC 1: fpc1
svy: total ue91
(running total on estimation sample)
Survey: Total estimation
Number of strata = 2 Number of obs = 8
Number of PSUs = 8 Population size = 32
Design df = 6
--------------------------------------------------------------
| Linearized
| Total Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
ue91 | 23580 11801.49 -5297.209 52457.21
--------------------------------------------------------------
estat cv
------------------------------------------------
| Linearized
| Total Std. Err. CV (%)
-------------+----------------------------------
ue91 | 23580 11801.49 50.0487
------------------------------------------------
estat effects
----------------------------------------------------------
| Linearized
| Total Std. Err. DEFF DEFT
-------------+--------------------------------------------
ue91 | 23580 11801.49 .758641 .754308
----------------------------------------------------------
Note: Weights must represent population totals for deff to
be correct when using an FPC; however, deft is
invariant to the scale of weights.
svy: ratio ue91 lab91
(running ratio on estimation sample)
Survey: Ratio estimation
Number of strata = 2 Number of obs = 8
Number of PSUs = 8 Population size = 32
Design df = 6
_ratio_1: ue91/lab91
--------------------------------------------------------------
| Linearized
| Ratio Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
_ratio_1 | .1233754 .0033325 .1152211 .1315297
--------------------------------------------------------------
estat cv
_ratio_1: ue91/lab91
------------------------------------------------
| Linearized
| Ratio Std. Err. CV (%)
-------------+----------------------------------
_ratio_1 | .1233754 .0033325 2.70109
------------------------------------------------
estat effects
_ratio_1: ue91/lab91
----------------------------------------------------------
| Linearized
| Ratio Std. Err. DEFF DEFT
-------------+--------------------------------------------
_ratio_1 | .1233754 .0033325 1.29364 .985004
----------------------------------------------------------
Note: Weights must represent population totals for deff to
be correct when using an FPC; however, deft is
invariant to the scale of weights.