Test dataset simulated for NSW id_i: individual ID martial: binary marital status (0 = unmarried, 1 = married) kids: the number of kids in household age_group: age-group households belong to, aggregated to a single group between 17 and 64. mass: mass of population in this household given income, marital, and kids status. hhsize: number of household members given kids count and marital status
data(df_nsw_tiny_chk168_df_id)
csv
Vegard M. Nygaard, Bent E. Sørensen, and Fan Wang (2021), Optimal Allocations to Heterogeneous Agents with an Application to Stimulus Checks
data(df_nsw_tiny_chk168_df_id)
head(df_nsw_tiny_chk168_df_id, 10)
#> # A tibble: 10 x 7
#> id_i marital kids age_group ymin_group mass hhsize
#> <dbl> <int> <int> <fct> <fct> <dbl> <dbl>
#> 1 1 0 0 (17,64] (0,0.363] 0.0317 1
#> 2 2 0 0 (17,64] (0.363,0.544] 0.0606 1
#> 3 3 0 0 (17,64] (0.544,0.725] 0.0994 1
#> 4 4 0 0 (17,64] (0.725,0.907] 0.0437 1
#> 5 5 0 0 (17,64] (0.907,1.09] 0.0508 1
#> 6 6 0 0 (17,64] (1.09,1.27] 0.0218 1
#> 7 7 0 0 (17,64] (1.27,1.45] 0.0191 1
#> 8 8 0 0 (17,64] (1.45,1.63] 0.0307 1
#> 9 9 0 0 (17,64] (1.63,1.81] 0.000942 1
#> 10 10 0 0 (17,64] (1.81,1.99] 0.0119 1