A repo containing course work from an econometrics module focused on causal inference.

[Python] Building a demand model and correcting for reverse causation with 2-stage least squares regression (OLS in statsmodels, IV2SLS in linearmodels)

The Thematic Quarter on Causality

Course website for Ph.D. Applied Microeconometrics at the KDI School.

TWFE/DID recent literature exploration

Final project for ECON434

Covariance prediction in the context of applying causality frameworks (potential outcomes) to fMRI sleep data to explore brain connectivity.

Repositório para os códigos e apresentações do Workshop de Análise de séries temporais por um critério de Causalidade

The article evaluates the effect of the enforcement activities of the Federal Antimonopoly Service of Russia on the market value of companies in the oil industry [reputational costs] (In Russian)

Repo for the case study: Causal Baseball - The Case of Reach on Error

Causally oriented doctoral econometrics course at UO, taught by Ed Rubin

This repository contains the code base for our graphical modelling and causal inference website library (MaRDI Project, TA3).

Repo for the case study: d-separation

EvacuAIDi: AI-Driven Evacuation Framework - PhD Dissertation Presentation

Analyzing global commodity shocks and trade linkages to predict sectoral stress and economic resilience in India.

Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)

This repository aims to present newest topics on data, statistics and decision making from information gain from statistical tools used on data.

Final Project for POLI100X (Quantitative Analysis of Congress) at UCSD - Causal analysis of polarization and legislative productivity in Congress

A comprehensive repository for the causRCA dataset and benchmarking framework for causal discovery and automated root cause analysis (RCA) methods in manufacturing systems.

An interactive mind map for thinkers who want to improve their logic.