Fundraising: Gneezy's Fundraising Data with a Gift Wage

In QDComparison: Modern Nonparametric Tools for Two-Sample Quantile and Distribution Comparisons

Description

These data come from Gneezy's (2006) fundraising experiment, on which Goldman (2018) performed quantile treatment effect analysis. These data correspond to the "pre-lunch" period.

Usage

data(Fundraising)

Format

A data frame with 23 observations on the following 2 variables.

x

A binary indicator variable: 0 for control, 1 for intervention (gift wage)

y

The response variable: dollars raised

Source

Gneezy, U. and List, J. A. (2006), "Putting behavioral economics to work: Testing for gift exchange in labor markets using field experiments," Econometrica, 74, 1365-1384.

References

Gneezy, U. and List, J. A. (2006), "Putting behavioral economics to work: Testing for gift exchange in labor markets using field experiments," Econometrica, 74, 1365-1384.

Goldman, M. and Kaplan, D. M. (2018), "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Volume 206, Issue 1, 143-166.

Examples

data(Fundraising)
## maybe str(Fundraising)
y <- Fundraising[,2]
x <- Fundraising[,1]
hist(y[x==1])

QDComparison documentation built on June 24, 2019, 9:04 a.m.