jakobberndt
PhD candidate in economics at the University of Cambridge
University of CambridgeCambridge, UK
Pinned Repositories
acl2020-wtwt-tweets
acl2022-wtwt-stocks
emnlp2020-stander-news
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jakobberndt.github.io
personal website
Python
All Algorithms implemented in Python
QuantEcon.py
A community based Python library for quantitative economics
jakobberndt's Repositories
jakobberndt/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jakobberndt/jakobberndt.github.io
personal website
jakobberndt/Python
All Algorithms implemented in Python
jakobberndt/QuantEcon.py
A community based Python library for quantitative economics