Software

A strong focus is on the development of new and improved microeconometric estimators, as can be seen in numerous publications.

A strong focus is on the development of new and improved microeconometric estimators, as can be seen in numerous publications.

Use for non-commercial academic-research is permitted free of charge subject to giving appropriate references.

KNAUS (2020): Double machine learning based program evaluation under unconfoundedness  https://arxiv.org/abs/2003.03191

R-package causalDML https://github.com/MCKnaus/causalDML

LECHNER (2018): Causal machine learning estimator to estimate mean effects at different aggregation levels as discussed in my paper Modified Causal Forest https://arxiv.org/abs/1812.09487

The most recent Python version is available on https://pypi.org/project/mcf/ (pip install mcf).

LECHNER, HUBER, STEINMAYR (2012): RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment https://econpapers.repec.org/software/bocbocode/s457575.htm

This module should be installed from within Stata by typing "ssc install radiusmatch".

 

Contact

Michael Lechner

Prof. Dr.

Managing Director

SEW-HSG
Büro 83-3115
Rosenbergstrasse 22
9000 St. Gallen
Write e-mail
SEW-HSG
Büro 83-3115
Rosenbergstrasse 22
9000 St. Gallen
north