11 projects
py-did-multiplegt-dyn
Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
did-had
Difference-in-Differences with Heterogeneous Adoption Design (HAD) estimator
honestdid
Robust Inference in Difference-in-Differences and Event Study Designs
rdhonest
Honest inference in regression discontinuity designs
scinference
Inference methods for synthetic control and related methods
nprobust
Nonparametric Robust Estimation and Inference Methods
pynpiv
Nonparametric IV (NPIV) estimation in Python
csdid
Difference in Difference in Python
drdid
Double Robust Difference in Difference y python
TrER
implementation of the Treatment Effect Risk: Bounds and Inference package, based on the replication by Kallus (2024).
synthdid
Synthdid