fitzhugor Goto Github PK

10econometrictheorems

Guide to fundamental econometric theorems listed by J. Wooldridge

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

artofstatistics

Code for 'The Art of Statistics'

bcallaway11-did

book_eesep_ed2

codes from the book "Econometric Evaluation of Socio-Economic Programs Theory and Applications"

causal-inference-2

Causal Inference II Mixtape Session

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causalbook

Replication code and downloadable example data sets for The Effect

causaldata-nickch-k-

Packages of Example Data for The Effect

causalinference

Causal Inference in Python

codechella

Data, Code and other material for CodeChella concert

csdid_drdid

csdid_drdid-1

Repository for the implementation of csdid and drdid

ctv_2017_jpam

dagitty

did-callaway-santanna

Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did

did2s_stata

Two-Stage Difference-in-Differences following Gardner (2021)

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

did_reading_group

differences

difference-in-differences in Python

drdid

Doubly Robust Difference-in-Differences Estimators

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 in

ehmatthes

eventstudy

R package and guide for performing event studies with heterogeneous dynamic effects.

fect

fixed effect counterfactual estimators

fect_stata

Stata package for Fixed Effect Counterfactual Estimators

front-door-criterion

Implementation of "Marc F. Bellemare and Jeffrey R. Bloem: The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion. March 4, 2020"

frontiers-in-did-2023-sept-callaway-

Frontiers in Difference-in-Differences taught by Brantly Callaway

gabor_data-analysis-2021

honestdid

Robust inference in difference-in-differences and event study designs