The experimentdatar
data package contains publicly available datasets
that were used in Susan Athey and Guido Imbens’ course “Machine
Learning and
Econometrics”
(AEA continuing Education, 2018). The datasets are conveniently packed
for R users.
You can install the development version from GitHub
# install.packages("devtools")
devtools::install_github("itamarcaspi/experimentdatar")
Load experimentdatar
and other required libraries
library(dplyr)
library(experimentdatar)
Load the social
dataset and display the response and treatment
variables
data(social)
social %>%
select(outcome_voted, treat_neighbors) %>%
head()
## # A tibble: 6 x 2
## outcome_voted treat_neighbors
## <int> <int>
## 1 0 0
## 2 1 0
## 3 1 0
## 4 0 0
## 5 0 0
## 6 0 0
There is also a function dataDetails()
that opens the original paper
where the data was used
dataDetails("social")
charitable
: Data used for the paper “Does Price matter in
charitable giving? Evidence from a large-Scale Natural Field
experiment”
by Karlan and List (2007).
IVdataset
: Data used for the paper “Does compulsory school
attendance affect schooling and earnings?”
by Angrist and Krueger (1991) and related papers.
mobilization
: Data for the paper “Comparing Experimental and
Matching Methods Using a Large-Scale Voter Mobilization
Experiment”
by Arceneaux, Gerber, and Green (2006).
vouchers
: Data for the paper “Vouchers for Private Schooling in
Colombia: Evidence from a Randomized Natural Experiment”
by Angrist, Bettinger, Bloom, King, and Kremer (2002).
secrecy
: Data for the paper “Ballot Secrecy Concerns and Voter
Mobilization: New Experimental Evidence about Message Source,
Context, and the Duration of Mobilization Effects”
by Gerber, Hubers, Biggers, and Hendry (2014).
social
: Data for the paper “Social Pressure and Voter Turnout:
Evidence from a Large-Scale Field Experiment”
by Gerber, Green, and Larimer (2008).
welfare
: Data for the paper “Modeling heterogeneous treatment
effects in survey experiments with Bayesian Additive Regression
Trees”
by Green and Kern (2012).
Please note that the ‘experimentdatar’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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