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ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"historical_data_extraction
minimal example of layoutparser useivDiag
IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).CVXSynth
Implementation of the original synthetic control (Abadie, Diamond, and Hainmueller 2010) and elastic-net synthetic control (Doudchenko and Imbens 2016) in CVXR.AnimatedMaps_US_CDs
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version belowminimal_website
pandoc powered personal/project websiterandomization_inference_neyman
randomization inference for the average treatment effect with covariatesebal
entropy balancing (v2)aipwML
Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methodsLalRUtils
Misc utility functions in R for personal use.pyensmallen
python wrapper for the ensmallen c++ library for numerical optimizationpyGIS-notes
brief introduction spatial data analysis in pythonsp2DID
semiparametric 2-period DiD estimators for the ATTalal-paper-template
pandoc / rmarkdown paper template + folder structure for empirical papers. Spits out sensible looking working paper pdf without having to set everything up in latex (but keeps tex file for subsequent tinkering).aipyw
minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.CATEs
wrapper package for multiple CATE estimator routinesindia_pesa_forests
cleaned up version of forests paper codebaseadmin_boundaries
processes gadmKnockoffEntropyBalancing
Entropy balancing with knockoff-selection constraintsbsky_paperbot
source for bsky arxiv paperboy bot.fastmatch
fast matching estimators for causal inferencemanual-ngrams-newspapers
code to construct google ngram style diagrams using text scraped from pdfs of a newspaper archiveLove Open Source and this site? Check out how you can help us