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Household and investment (unique start and end months) as units of observation. This is a file derived from tstm_invest, considering only unique investment spans.

Usage

tstm_invdates_uniq

Format

Household and investment (unique start and end) file

id

Household ID

hh_inv_ctr

Unique household investment span counter

mth_inv_start

Start time of unique investment span

mth_inv_end

End time of unique investment span

thres_inv_mgap

Month gap allowed to merge investment jump together as one investment

thres_inv_dfds

Standard deviation threshold for counting investment jump

Details

Benchmark file with benchmark investment standard deviation, and investment gap allowance parameters. Multiple alternative investment variables are jointly considered and unique investment windows from across investment variables are found. Within household, investment spans can overlap due to them coming from different investment variable definitions.

Examples

data(tstm_invdates_uniq)
summary(tstm_invdates_uniq)
#>  thres_inv_mgap thres_inv_dfsd        id           hh_inv_ctr    
#>  Min.   :2      Min.   :2.326   Min.   : 70201   Min.   : 1.000  
#>  1st Qu.:2      1st Qu.:2.326   1st Qu.:270219   1st Qu.: 2.000  
#>  Median :2      Median :2.326   Median :490106   Median : 3.000  
#>  Mean   :2      Mean   :2.326   Mean   :345374   Mean   : 3.578  
#>  3rd Qu.:2      3rd Qu.:2.326   3rd Qu.:490626   3rd Qu.: 5.000  
#>  Max.   :2      Max.   :2.326   Max.   :531026   Max.   :16.000  
#>  mth_inv_start     mth_inv_end    
#>  Min.   :  1.00   Min.   :  1.00  
#>  1st Qu.: 38.00   1st Qu.: 38.00  
#>  Median : 75.00   Median : 75.00  
#>  Mean   : 76.21   Mean   : 76.31  
#>  3rd Qu.:114.00   3rd Qu.:114.00  
#>  Max.   :160.00   Max.   :160.00  
print(tstm_invdates_uniq)
#> # A tibble: 3,744 × 6
#> # Groups:   id [754]
#>    thres_inv_mgap thres_inv_dfsd    id hh_inv_ctr mth_inv_start mth_inv_end
#>             <dbl>          <dbl> <dbl>      <int>         <dbl>       <dbl>
#>  1              2           2.33 70201          1            18          18
#>  2              2           2.33 70202          1            31          31
#>  3              2           2.33 70202          2            63          63
#>  4              2           2.33 70202          3           102         102
#>  5              2           2.33 70202          4           111         111
#>  6              2           2.33 70202          5           123         123
#>  7              2           2.33 70202          6           147         147
#>  8              2           2.33 70202          7           147         148
#>  9              2           2.33 70202          8           148         148
#> 10              2           2.33 70203          1            28          28
#> # ℹ 3,734 more rows