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.
A data frame with 40267 rows, 7 study identifiers and 7 outcomes
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
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.
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