estimatr: Fast Estimators for Design-Based Inference

Fast procedures for a small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Provides lm_robust, lm_lin, iv_robust, lh_robust, difference_in_means, and horvitz_thompson, with feols-style fixed effects absorption and design-aware Horvitz-Thompson variance. See vignette("estimatr2.0") for what changes in version 2.0 and what does not.

See also

Useful links:

• https://declaredesign.org/r/estimatr/

• https://github.com/DeclareDesign/estimatr

• Report bugs at https://github.com/DeclareDesign/estimatr/issues

Author

Maintainer: Alexander Coppock acoppock@gmail.com

Authors:

• Alexander Coppock acoppock@gmail.com

• Graeme Blair graeme.blair@gmail.com

• Jasper Cooper jjc2247@columbia.edu

• Luke Sonnet luke.sonnet@gmail.com

Other contributors:

• Macartan Humphreys macartan@gmail.com [contributor]

• Neal Fultz nfultz@gmail.com [contributor]

• Lily Medina lilymiru@gmail.com [contributor]

• Russell Lenth russell-lenth@uiowa.edu [contributor]

• Molly Offer-Westort mollyow@uchicago.edu [contributor]