Matteo Courthoud

awesome-causal-inference. A curated list of causal inference libraries, resources, and applications.

Blog-Posts. Code and notebooks for my Medium blog posts

Machine-Learning-for-Economic-Analysis. Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

custom-wowchemy-theme. My settings for Hugo Academic (wowchemy)

Phd-Industrial-Organization. In this repository I collect the lecture notes and code for an advanced course in Empirical Industrial Organization. All code is written in Julia.

cv-latex-template. My personal template for a one-page cv in latex

Phd-Econometrics. Graduate Econometrics course notes with code in Julia

Algorithmic-Collusion-Replication. Replication of "Artificial Intelligence, Algorithmic Pricing, and Collusion" by Calvano, Calzolari, Denicolò, Pastorello (2020) in Python, Matlab and Julia.

matteocourthoud.github.io. HTML

Data-Science-Python. Notes for a course in data science using Python. Work in progress

centered-colormap. MATLAB function to make divergent colormaps with the color white always centered on zero.

ioslides-theme. Theme for ioslides in rmarkdown

causal-ml. Must-read papers and resources related to causal inference and machine (deep) learning

Foreclosure-Complementarities. This paper studies complementarities between two foreclosure practices: exclusionary bundling and predatory prices.

fitbit-clock-minimal. Minimal Fitbit clockface with great battery performance