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

att_gt(): Group-Time Average Treatment Effects

aggte(): Aggregate Group-Time Average Treatment Effects

Pre-Testing

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

Plotting and Summarizing

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

ggdid(): Plot did objects using ggplot2

ggdid(<MP>): Plot MP objects using ggplot2

ggdid(<AGGTEobj>): Plot AGGTEobj objects

summary(<MP>): summary.MP

summary(<AGGTEobj>): Summary Aggregate Treatment Effect Parameter Objects

summary(<MP.TEST>): summary.MP.TEST

print(<MP>): print.MP

print(<AGGTEobj>): print.AGGTEobj

Classes

Classes available in the did package

MP(): MP

AGGTEobj(): AGGTEobj

MP.TEST(): MP.TEST

DIDparams(): DIDparams

Helper Functions

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

tidy(<AGGTEobj>): tidy results from AGGTEobj objects

tidy(<MP>): tidy results from MP objects

Data

Available datasets in the package

mpdta: County Teen Employment Dataset

Package Documentation

did did-package: Difference in Differences