The py_creditcoops data frame has 44 rows and 3 recorded columns.
The observations are total loans granted from large Paraguayan
credit cooperatives (Type A) paired for the years 2016 and 2018.
This data set was used in a published paper analyzing Paraguay's large credit cooperatives.
Format
A data frame with 44 rows and 6 variables:
- rowid
index
- country
Country name
- ISO
Country ISO code
- coop_id
Unique identifier of the cooperative
- year
A factor indicating the year the loan was granted
- total_loans
A numeric variable indicating total loans granted in US dollars
Source
National Cooperative Institute (INCOOP). https://www.incoop.gov.py/
Note
The respective credit unions have deliberately not been named, however, can be requested from the author.
References
Schneider, A. (2022).Kreditgenossenschaften: Marktstruktur, Wettbewerb und Verhalten. Das Beispiel Paraguay, Zeitschrift für das gesamte Genossenschaftswesen, 72, 7-38, https://doi.org/10.1515/zfgg-2022-0002.