amce: Estimator for the average causal mediation effect (AMCE)

In mikajoh/wiggle: Research Compendium for the EUP paper titled "Conditional Legitimacy: How turnout, majority size and outcome affect perceptions of legitimacy in EU membership referendums"

Description

Estimates the average causal mediation effect (AMCE) for all provided treatments. Can estimate clustered and/or robust standard errors.

Usage

amce(data, post, ..., cluster = NULL, subgroup = NULL, diff = NULL,
  subset = NULL)

Arguments

data	Data
post	Post treatment variable.
...	The treatment components (without quotes).
cluster	Variable indicating clusters if SEs should be clustered.
subgroup	Variable(s) indicating which subgroups, if any, to independently calculate AMCEs for. If multiple subgroups are provided, then it will iterate over each combination.
diff	If diff is provided, it will calculate the difference in AMCE between the unique values of diff.
subset	Subset to estimate AMCEs for.

Examples

## Not run: 
 amce <- amce(data, post, treatment_1, treatment_2)

## End(Not run)

mikajoh/wiggle documentation built on May 29, 2019, 11:03 p.m.