- Stata package ARTs
- Implements approximate randomization tests for inference with a small number of clusters
- Canay, Romano, and Shaikh (2017): Randomization Tests Under an Approximate Symmetry Assumption
- Cai, Canay, Kim, and Shaikh (2021): A User’s Guide to Approximate Randomization Tests in Regressions with a Small Number of Clusters
- Ivan A. Canay, Northwestern University
- Joseph P. Romano, Stanford University
- Azeem M. Shaikh, University of Chicago
- Yong Cai, Northwestern University
- Deborah Kim, Northwestern University
- Ivan A. Canay, Northwestern University
- Vishal Kamat, Northwestern University
- Azeem M. Shaikh, University of Chicago
- Joseph P. Romano, Stanford University
- Yong Cai, Northwestern University
- Deborah Kim, Northwestern University
Download files in working directory, and run the following command before implementing:
. capture program drop art
The file "art_example.do" illustrates the implementation for some results in Canay, Romano & Shaikh (2017) on the dataset from Angrist and Lavy (2009). The dataset is contained in "base01.dta". The file "art_tutorial.pdf" also provides a brief tutorial on the implementation of the command. For further help type:
. help art
- Repository owner: iacanay@northwestern.edu
- Repository admin: yongcai2023@u.northwestern.edu
art.ado art.hlp art_example.do art_tutorial.pdf base01.dta
art-STATA is released under the MIT LICENSE