microcredit: 7 studies on effect of microcredit supply
In baggr: Bayesian Aggregate Treatment Effects
microcredit R Documentation
7 studies on effect of microcredit supply
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
Format
A data frame with 40267 rows, 7 study identifiers and 7 outcomes
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 6 outcome variables of most
interest (consumer durables spending, business expenditures, business profit,
business revenues, temptation goods spending and consumption spending) all of
which are 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-world datasets.
For more information on how and why these variables were chosen and standardised,
see Meager (2019) or consult the associated code repository which includes the
standardisation scripts:
link
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 | R Documentation |
7 studies on effect of microcredit supply
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
Format
A data frame with 40267 rows, 7 study identifiers and 7 outcomes
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 6 outcome variables of most interest (consumer durables spending, business expenditures, business profit, business revenues, temptation goods spending and consumption spending) all of which are 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-world datasets.
For more information on how and why these variables were chosen and standardised, see Meager (2019) or consult the associated code repository which includes the standardisation scripts: link
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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