JosueMA

computer-science

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

EconML

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

AlpacaDataCleaned

Alpaca dataset from Stanford, cleaned and curated

stat_rethinking_2024

coding-for-economists

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

awesome-computational-social-science

A list of awesome resources for Computational Social Science

DiD

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

DSGE_mod

A collection of Dynare models

Practical-Time-Series-In-Python

Practical guidance for time series analysis in Python

GaryChamberlainLectureNotes

539b

(Advanced) Applied Econometrics

kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

data-visualisation-scripts

Collection of scripts for data visualisation and good code practice.

GenericML

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

structural_behavioral_economics

Python and Julia Code for Structural Behavioral Economics

Computational-Macroeconomics

A graduate course on Computational Macroeconomics

python_julia_structural_behavioral_economics

Python and Julia Code for Structural Behavioral Economics

testandroll

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

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

data_visualization_practice

Data visualization and Information Design with Python and R

mcmc_visualization_tools

Markov Chain Monte Carlo Visualization Tools

EC607S23

Causal-inference oriented doctoral econometrics course at UO

EmotionTimeSeries

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

DynareR

DynareR package integrates Dynare and R

sequential-bayes-ab

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

EconomicsPhD

infodemic-replication

Mexico_CPI

Mexico Consumer Price Index Inflation Calculator (INPC)

dumbell_plot

ExpEcoWorkflow_course_repository

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