Microfinance {QDComparison}

Informal Borrowing in Neighborhoods of Hyderabad, India

Description

These data come from Banerjee's (2015) informal borrowing observations.

Usage

data(Microfinance)

Format

A data frame with 6811 observations on the following 2 variables.

x

A binary indicator variable: 0 for control, 1 for intervention (access to microfinance)

y

The response variable: rupees informally borrowed

Source

https://www.aeaweb.org/articles?id=10.1257/app.20130533

References

Banerjee, A., Duflo, E., Glennerster, R., and Kinnan, C. (2015), "The miracle of microfinance? Evidence from a randomized evaluation," American Economic Journal: Applied Economics, 7, 22-53.

Examples

data(Microfinance)
## maybe str(Microfinance)
y <- Microfinance[,2]
x <- Microfinance[,1]
# Remove the 0s (as Banerjee (2015) appears to have done)
ind <- which(y==0)
x <- x[-ind]
y <- y[-ind]
hist(y[x==0])