Markov Chain Monte Carlo Visualization Tools

(Advanced) Applied Econometrics

R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).

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 go…

A Repository of Stan Models for Bayesian Sequential A/B Testing

EconML/CausalML KDD 2021 Tutorial

Keeping track of what is going on with the latest DiD innovations.

This is a full course about data management in Experimental Economics. The apps are programmed in oTree and the data analysis in R (Markdown).

Causal-inference oriented doctoral econometrics course at UO

Python and Julia Code for Structural Behavioral Economics

A list of awesome resources for Computational Social Science

Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.

Course materials for the Coursera MOOC: Stochastic Processes from National Research University Higher School of Economics

🎓 Path to a free self-taught education in Computer Science!

A graduate course on Computational Macroeconomics

DynareR package integrates Dynare and R

A collection of Dynare models

Practical guidance for time series analysis in Python

Alpaca dataset from Stanford, cleaned and curated

Mexico Consumer Price Index Inflation Calculator (INPC)

Data visualization and Information Design with Python and R

Collection of scripts for data visualisation and good code practice.

Data archive of seven open emotion time series from studies using Experience Sampling Methodology

This repository hosts the code behind the online book, Coding for Economists.

Guide to fundamental econometric theorems listed by J. Wooldridge