AI-economist
Economist in the making. Research Interest : Food Policy, Labor Economics and Macroeconomics. Experimenting with Economics and Machine Learning.
University of GeorgiaAthens, GA
AI-economist's Stars
SeleniumHQ/docker-selenium
Provides a simple way to run Selenium Grid with Chrome, Firefox, and Edge using Docker, making it easier to perform browser automation
allisonhorst/stats-illustrations
R & stats illustrations by @allison_horst
asjadnaqvi/DiD
Keeping track of what is going on with the latest DiD innovations.
dmi3kno/polite
Be nice on the web
Mixtape-Sessions/Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
Mixtape-Sessions/Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
Mixtape-Sessions/Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
Mixtape-Sessions/Instrumental-Variables
Instrumental Variables Mixtape Track taught by Peter Hull
bernardodionisi/differences
difference-in-differences in Python
tinoproductions/DirtyQuant
Code that I show on my YouTube Channel
Mixtape-Sessions/Shift-Share
Shift-Share Instrument Mixtape Track taught by Peter Hull
Mixtape-Sessions/Doing-Applied-Research
Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
sergiocorreia/ppmlhdfe
Poisson pseudo-likelihood regression with multiple levels of fixed effects
setzler/JuliaEconomics
Tutorial Scripts for JuliaEconomics.com
tyleransom/DScourseS21
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)
jabbring/dynamic-discrete-choice
Matlab package for learning to specify, compute, and estimate dynamic discrete choice models
Mixtape-Sessions/Regression-Discontinuity
Regression Discontinuity Mixtape Track taught by Rocio Titiunik
Mixtape-Sessions/Heterogeneous-Effects
Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
Mixtape-Sessions/Synthetic-Control-and-Clustering
Synthetic-Control-and-Clustering taught by Alberto Abadie
jprodriguesumn/McKayLectureCodes
DigiUGA/UGA-Dissertation-LaTeX-Template
A dissertation/thesis template in LaTeX approval by the UGA Grad School.
amckay/EC702
Numerical analysis code and notes for EC 702
UBCECON567/BLPDemand.jl
sglyon/CLMMJuliaPythonMatlab
Codes to accompany the paper "Matlab, Python, Julia: What to Choose in Economics?" by Chase Coleman, Spencer Lyon, Lilia Maliar, and Serguei Maliar
rgreminger/DDCModelsExample.jl
Julia code for "Dynamic Discrete Choice Models: Methods, Matlab Code and Exercises" by Abbring and Klein (2020)
ck37/ck37r
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
floswald/ScPo-Labor
Graduate labor course at SciencesPo
floswald/migration
Replication Kit for Oswald, Quantitative Economics (2019)
arbenson/discrete-subset-choice
Software and data accompanying the paper "A Discrete Choice Model for Subset Selection".
mindymallory/research-project-template
This template can be used to begin projects that are reproducible from raw data through published paper or thesis.