timmens/bayesian-hierarchical-models

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timmens/bayesian-hierarchical-models

timmens

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Research Module in Econometrics and Statistics at Univ. Bonn (2019/2020) on Bayesian Hierarchical Models.

causal-forest

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

fte

functional-treatment-effects

Companion repository to the working paper Causal Inference with Functional Treatment Effects.

random-grouping

Create recurring random groups that are chosen to minimize some criterion.

sawr

Implementation of the SAW estimation procedure as described in "A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters"

pytask-markdown

dotfiles

r-course

Teaching material for an introductory programming class using R

social-cost-ai

Jupyter Notebook

compstat

Material for the presentation 'Fair Causal Inference for Functional Data', presented at the Computational Statistics Conference; 2022, Bologna.

macro_problems

Repository containing material for our macro study group.

Jupyter Notebook

simulation-saw-paper

Code to reproduce simulation results in paper.