Example Data Sets for Causal Inference Textbooks

Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" < https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" < https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

causaldata

This R package contains data sets that can be used to implement the code examples in causal inference textbooks.

As of the moment, this contains data sets from The Effect by Huntington-Klein, first and second edition, Causal Inference: The Mixtape by Scott Cunningham, and Causal Inference: What If? by Hernán and Robins. The judge_fe data set from The Mixtape is too large to include, and so is omitted.

Data sets are stored as tibbles and come with attached variable labels. After the data set is loaded, you can view all variables and their variable labels with vtable::vtable(), or use help() on the data set.

See help(package = 'causaldata') for a list of data sets included.

This package can be installed with:

install.packages('causaldata')

# Or for the dev version:
# If necessary: install.packages('remotes')
remotes::install_github('NickCH-K/causaldata/R/')