Package index • did

Difference-in-Differences Methods

Tools to compute average treatment effects, particularly in the case with multiple periods and variation in treatment timing

Tools to compute “pre-test” the DiD assumption in the case where multiple periods are available

conditional_did_pretest(): Pre-Test of Conditional Parallel Trends Assumption

Tools for plotting and summarizing the results of the att_gt method and aggte method

Classes available in the did package

A number of other miscellaneous helper functions

mboot(): Multiplier Bootstrap
test.mboot(): Multiplier Bootstrap for Conditional Moment Test
pre_process_did(): Process did Function Arguments
pre_process_did2(): Process did Function Arguments
process_attgt(): Process Results from compute.att_gt()
indicator(): indicator
build_sim_dataset(): build_sim_dataset
reset.sim(): reset.sim
sim(): sim
trimmer(): trimmer
glance(<AGGTEobj>): glance model characteristics from AGGTEobj objects
glance(<MP>): glance model characteristics from MP objects
nobs(<AGGTEobj>): Number of unique cross-sectional units in an AGGTEobj object
nobs(<MP>): Number of unique cross-sectional units in an MP object
tidy(<AGGTEobj>): Tidy an AGGTEobj into a data frame
tidy(<MP>): Tidy an MP object into a data frame

Available datasets in the package