Rayhan Momin's Projects
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
Loan-level analysis of Fannie Mae and Freddie Mac data
Repo for Yale Applied Empirical Methods PHD Course
Code for 'Recovering Network Structure from Aggregated Relational Data Using Penalized Regression'
A curated collection of links for economists
A curated list of awesome Machine Learning frameworks, libraries and software.
Materials for the mini-course on deep learning and macro-finance.
Bayesian Data Analysis course at Aalto
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
R code for causal graph animations
A Comparison of Programming Languages in Economics
Computational Economics Course 2020 by Kenneth Judd
COVID-19 Policy Data Crowdsourced Map
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Partial replication of Crouze-Tourre (2021)
This repo has code to do primary data cleaning for Compustat / Crsp from WRDS
The Leek group guide to data sharing
Matlab implementation of DC-EGM algorithm from Iskhakov, Jorgensen, Rust and Schjerning (QE, 2017)
Keeping track of what is going on with the latest DiD innovations.
"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman
Teaching materials from DSE2019 summer school at Chicago Booth
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
A collection of Dynare models
Public repository for UChicago's Econ 35101 "International Macroeconomics and Trade" PhD class
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
Solve forward-looking PDEs (e.g. HJB equations).