JJ Chen's starred repositories
profile-summary-for-github
Tool for visualizing GitHub profiles
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 inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
sentometrics
An integrated framework in R for textual sentiment time series aggregation and prediction
fryingpane
Serve datasets from a package inside the RStudio Connection Pane.
did2s_stata
Two-Stage Difference-in-Differences following Gardner (2021)
condformat
R package to apply conditional formatting rules to a data.frame
readability
Fast readability scores for text data
public_salaries
Public sector employee salaries
staggered_adoption_synthdid
Code to incorporate staggered treatment adoption (based on appendix from Arkhangelsky et al. 2021) into synthdid package