Alternatives and similar repositories for awesome-econ-ai-stuff

Users that are interested in awesome-econ-ai-stuff are comparing it to the libraries listed below

• danielbr2 / U.FIE
  ☆25Updated 2 months ago
• andrewchbaker / JFE_DID
  This repo contains the code to replicate the analyses in Baker, Larcker, Wang.
  ☆50Updated 4 years ago
• sarkispa / LectureNotes
  A set of lecture notes from my PhD classes at Boston College
  ☆30Updated 6 years ago
• baptiste-meunier / Nowcasting_toolbox
  Code and templates for Linzenich, J., and Meunier, B. (2024). "Nowcasting Made Easier: a Toolbox for Real-Time Predictions". Working Pape…
  ☆52Updated 6 months ago
• JanDitzen / xtdcce2
  Estimating Dynamic Common Correlated Effects Models in Stata
  ☆32Updated 5 months ago
• cykbennie / fbi
  Factor-Based Imputation for Missing Data
  ☆60Updated last year
• OpenSourceEcon / CompMethods
  "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly u…
  ☆109Updated 2 years ago
• matteocourthoud / Machine-Learning-for-Economic-Analysis
  Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
  ☆87Updated 3 years ago
• jstac / econometric_theory_slides
  Slides for A Primer in Econometric Theory
  ☆133Updated 8 years ago
• MartinSpindler / Machine-Learning-in-Econometrics
  Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
  ☆28Updated 9 years ago
• jonathandroth / Econ1630_Github
  ☆91Updated last month
• matteocourthoud / Phd-Econometrics
  Graduate Econometrics course notes with code in Julia
  ☆25Updated 4 years ago
• dhopp1 / nowcasting_benchmark
  Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.
  ☆60Updated 2 years ago
• romainlafarguette / granulariv
  Granular instrumental variables, using Gabaix and Koijen paper (2020)
  ☆20Updated 3 years ago
• bashtage / python-introduction
  A set of notebooks the provide an introduction to Python.
  ☆106Updated 5 months ago
• sekhansen / machine_learning_economics
  Machine Learning for Economics
  ☆93Updated 6 years ago
• WhitesPhD / ECOM151_2020
  Big Data Applications in Finance module (MSc level)
  ☆16Updated 4 years ago
• jm4474 / Courses-IntroEconometrics-Ph.D
  This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their d…
  ☆27Updated 4 years ago
• bryangraham / short_courses
  Instructional materials for econometrics short courses
  ☆89Updated last year
• iacoviel / iacoviel.github.io
  Matteo Iacoviello's personal webpage
  ☆12Updated last week
• kylebutts / nber_methods_lecture_slides
  Slides from NBER Methods Lecture (extracted from the Wayback Machine)
  ☆50Updated last month
• ScPoEcon / Advanced-Metrics-slides
  Slide host for the advanced econometrics course for undergraduates
  ☆44Updated last year
• dhopp1 / nowcastDFM
  Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
  ☆29Updated 2 years ago
• ncachanosky / Macro-with-Python
  Macro with Python
  ☆54Updated 4 years ago
• michaelewens / vc_backed_boards
  A database on VC-backed startups from Ewens and Malenko (2025)
  ☆13Updated 11 months ago
• wenddymacro / Applied-Econometrics
  DSGE/CGE/VAR/DID/RD/IV/Panel Data
  ☆18Updated 6 years ago
• charliemurry / empirical-methods
  Materials for Empirical Methods for Applied Microeconomics PhD course.
  ☆29Updated 3 years ago
• ojorda / JEL-Code
  Local Projections by Oscar Jorda and Alan Taylor. STATA code
  ☆44Updated last year
• Alexander-M-Dickerson / TRACE-corporate-bond-processing
  Code to quickly process and generate various data from the intraday TRACE corporate bond data from WRDS.
  ☆54Updated last year
• FanWangEcon / Stata4Econ
  Reusable Stata Code from Various Projects
  ☆40Updated 5 years ago