microcredit_simplified: Simplified version of the microcredit dataset.
In baggr: Bayesian Aggregate Treatment Effects
microcredit_simplified R Documentation
Simplified version of the microcredit dataset.
Description
This dataframe contains the data used in Meager (2019) to estimate hierarchical
models on the data from 7 randomized controlled trials of expanding access to microcredit.
Usage
microcredit_simplified
Format
A data frame with 14224 rows, 7 study identifiers and 1 outcome
Details
The columns include the group indicator which gives the name of the lead author on
each of the respective studies, the value of the household consumption
spending standardised to USD PPP in 2009 dollars per two weeks (these are flow variables),
and finally a treatment assignment status indicator.
The dataset has not otherwise been cleaned and therefore includes NAs and other
issues common to real data.
For more information on how and why these variables were chosen and standardised,
see Meager (2019) or consult the associated code repository:
link
This dataset includes only complete cases and only the consumption outcome variable.
References
Meager, Rachael (2019) Understanding the average impact of microcredit expansions:
A Bayesian hierarchical analysis of seven randomized experiments. American Economic Journal:
Applied Economics, 11(1), 57-91.
baggr documentation built on May 29, 2024, 6:33 a.m.
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| microcredit_simplified | R Documentation |
Simplified version of the microcredit dataset.
Description
This dataframe contains the data used in Meager (2019) to estimate hierarchical models on the data from 7 randomized controlled trials of expanding access to microcredit.
Usage
microcredit_simplified
Format
A data frame with 14224 rows, 7 study identifiers and 1 outcome
Details
The columns include the group indicator which gives the name of the lead author on each of the respective studies, the value of the household consumption spending standardised to USD PPP in 2009 dollars per two weeks (these are flow variables), and finally a treatment assignment status indicator.
The dataset has not otherwise been cleaned and therefore includes NAs and other issues common to real data.
For more information on how and why these variables were chosen and standardised, see Meager (2019) or consult the associated code repository: link
This dataset includes only complete cases and only the consumption outcome variable.
References
Meager, Rachael (2019) Understanding the average impact of microcredit expansions: A Bayesian hierarchical analysis of seven randomized experiments. American Economic Journal: Applied Economics, 11(1), 57-91.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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