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I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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+18%
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Yihui Xie
@yihui
Brantly Callaway
@bcallaway11
Bill Shao
@shaodaqian
Jason Hartford
@jhartford
Vinicius Melquíades de Sousa
@viniciusmsousa
Top Repositories
Python package for causal inference via Synthetic Difference-in-Differences. Supports block and staggered adoption designs, optional covariates, unit/time weight visualization, and standard error estimation.
Synthetic difference in differences for Python
Synthetic difference in differences
This is the quarto book that presents the solutions to green questions in the book Causal Inference with Differences-in-Differences: Credible Answers to Hard Questions
|| Stata | R || 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.
Difference-in-Differences with a Continuous Treatment
Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did
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