jonclindaniel / LargeScaleComputing_S20Links
This is the course repository for the Spring 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.
☆20Updated 5 years ago
Alternatives and similar repositories for LargeScaleComputing_S20
Users that are interested in LargeScaleComputing_S20 are comparing it to the libraries listed below
Sorting:
- Inference in shift-share designs☆19Updated 10 months ago
- Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions s…☆23Updated 4 years ago
- R-code to compare some staggered did methods☆26Updated 3 years ago
- Useful Stata routines☆16Updated 3 months ago
- Course material for the Winter 2020 Edition of PP4RS at Uni Zurich☆19Updated 5 years ago
- Data and replication files for Ashworth, Hotz, Maurel and Ransom's article in Journal of Labor Economics☆8Updated 3 years ago
- Stata module that calculates the weights underlying two-way fixed effect event studies☆19Updated 3 years ago
- This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"☆50Updated 4 years ago
- R Companion to the textbook "Econometrics" by Fumio Hayashi☆37Updated 2 years ago
- A Stata package that acts as a wrapper for Callaway and Sant'anna's R did package☆31Updated 3 years ago
- Training for assessing replicability☆12Updated 2 months ago
- R package containing data on NBER working papers☆23Updated 2 years ago
- This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their d…☆24Updated 3 years ago
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2021 Taugh…☆18Updated 4 years ago
- ECON 815: Computational Methods for Economists☆55Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. BLPestimatoR — Performs a BLP Demand Estimation