Creditcoops

data set with 22 paired Paraguayan credit cooperatives (2016, 2018)

Usage

creditcoops

Format

A data frame with 44 rows and 5 variables:

coop_id

double, ID of the credit cooperative

year

integer, sample year

total_loans

double, total loans granted (USD) per year and cooperative

paired

integer, paires of cooperatives

total_loans_log

double, the natural log of total loans

Source

http://www.incoop.gov.py/v2/

Note

real names of the cooperatives have been purposely omitted, but are available on request.

Author

Andreas Schneider

Examples

data("creditcoops")
head(creditcoops)
#> # A tibble: 6 × 5
#>   coop_id year  total_loans paired total_loans_log
#>     <dbl> <fct>       <dbl>  <int>           <dbl>
#> 1       1 2016    173892358      1            19.0
#> 2       1 2018    199048199      1            19.1
#> 3       2 2016    323892456      2            19.6
#> 4       2 2018    461609439      2            20.0
#> 5       3 2016    179981404      3            19.0
#> 6       3 2018    227232008      3            19.2