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)

Format

csv

References

Vegard M. Nygaard, Bent E. Sørensen, and Fan Wang (2021), Optimal Allocations to Heterogeneous Agents with an Application to Stimulus Checks

Examples

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