Illustrative prior variance of natural-log mean household consumption at EA level, modeled as if obtained from an earlier household survey. Used for demonstrating Neyman allocation in stratified sampling; the values are synthetic and are not official estimates for Burkina Faso.
Format
A tibble with 13 rows and 2 columns:
- region
Factor. Region name
- var
Numeric. Prior variance of natural-log mean household consumption at EA level within region
Examples
# View the variance data
bfa_eas_variance
#> # A tibble: 13 × 2
#> region var
#> <fct> <dbl>
#> 1 Boucle du Mouhoun 0.391
#> 2 Cascades 0.391
#> 3 Centre 0.311
#> 4 Centre-Est 0.356
#> 5 Centre-Nord 0.356
#> 6 Centre-Ouest 0.371
#> 7 Centre-Sud 0.363
#> 8 Est 0.397
#> 9 Hauts-Bassins 0.397
#> 10 Nord 0.353
#> 11 Plateau-Central 0.333
#> 12 Sahel 0.396
#> 13 Sud-Ouest 0.378
# Neyman allocation minimizes variance for fixed sample size
sampling_design() |>
stratify_by(region, alloc = "neyman", variance = bfa_eas_variance) |>
draw(n = 200) |>
execute(bfa_eas, seed = 2)
#> # A tbl_sample: 200 × 18
#> # Sampling: 1 stage | 200/44,570 units
#> # Weights: 222.85 [209, 243]
#> ea_id region province commune urban_rural population households area_km2
#> * <int> <fct> <fct> <fct> <fct> <int> <int> <dbl>
#> 1 6219 Boucle du … Nayala Kougny Rural 1544 206 2.52
#> 2 34772 Boucle du … Sourou Tougan Rural 872 133 0.99
#> 3 25911 Boucle du … Mouhoun Dédoug… Rural 222 31 8.39
#> 4 31953 Boucle du … Sourou Kiemba… Rural 602 78 6.91
#> 5 31928 Boucle du … Sourou Kiemba… Rural 906 118 0.85
#> 6 36703 Boucle du … Bale Fara Rural 975 143 1.31
#> 7 8235 Boucle du … Mouhoun Ouarko… Rural 271 37 8.86
#> 8 43720 Boucle du … Mouhoun Safané Rural 101 14 8.14
#> 9 11746 Boucle du … Bale Yaho Rural 98 15 8.72
#> 10 44450 Boucle du … Mouhoun Tchéri… Rural 628 100 7.25
#> # ℹ 190 more rows
#> # ℹ 10 more variables: pop_density <dbl>, longitude <dbl>, latitude <dbl>,
#> # remoteness <fct>, fieldwork_cost <int>, .weight <dbl>, .sample_id <int>,
#> # .stage <int>, .weight_1 <dbl>, .fpc_1 <dbl>