mboot: Multiplier Bootstrap

In triplediff: Triple-Difference Estimators

Multiplier Bootstrap

Description

This function take an influence function and use the multiplier bootstrap to compute standard errors and critical values for uniform confidence bands.

Usage

mboot(inf_func, did_preprocessed, use_parallel = FALSE, cores = 1)

Arguments

inf_func	an influence function
did_preprocessed	A dp object obtained after preprocess
use_parallel	Boolean of whether or not to use parallel processing in the multiplier bootstrap, default is use_parallel=FALSE
cores	the number of cores to use with parallel processing, default is cores=1

Value

A list with following elements

bres	results from each bootstrap iteration.
V	variance matrix.
se	standard errors.
crit_val	a critical value for computing uniform confidence bands.

triplediff documentation built on Aug. 8, 2025, 7:33 p.m.