undidR-package: undidR: Difference-in-Differences with Unpoolable Data

In undidR: Difference-in-Differences with Unpoolable Data

undidR: Difference-in-Differences with Unpoolable Data

Description

Implements difference-in-differences with unpoolable data.

Details

A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025). Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020).

Stage One - Initialize

• create_init_csv - Create initial CSV files for setup.

• create_diff_df - Creates the "diff matrix".

Stage Two - Silos

• undid_stage_two - Calculates trends and differences.

Stage Three - Analysis

• undid_stage_three - Computes ATTs and p-values.

Author(s)

Eric Jamieson

See Also

Useful links:

• https://github.com/ebjamieson97/undidR

• https://ebjamieson97.github.io/undidR/

• Report bugs at https://github.com/ebjamieson97/undidR/issues

undidR documentation built on Feb. 17, 2026, 1:06 a.m.