*! version 30aug2024

help ddml export v1.4.4

ddml export utility for Double Debiased Machine Learning

ddml -- Stata package for Double Debiased Machine Learning

ddml implements algorithms for causal inference aided by supervised
machine learning as proposed in
Double/debiased machine learning for treatment and structural parameters
(Econometrics Journal, 2018). Five different models are supported, allowing for
binary or continuous treatment variables and endogeneity, high-dimensional
controls and/or instrumental variables.

ddml export saves the estimated conditional expectations, cross-fold identifers, etc.
to a CSV file.

Syntax

ddml export
using filename [ , mname(name)
addvars(varlist)

options

mname(name)
name of the DDML model. Allows to run multiple DDML
models simultaneously. Defaults to m0.

addvars(varlist)
additional Stata variables to include with ddml variables.

Examples