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Markov Chain Monte Carlo Visualization Tools
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
snunnari / structural_behavioral_economics
Forked from MassimilianoPozzi/python_julia_structural_behavioral_economicsPython 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.
xweipbcsf / Stochastic-Processes--National-Research-University-Higher-School-of-Economics---Coursera
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
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.