Applied Econometrics / Causal Inference / ML Notes
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Unix snippets for reference
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Notebooks and reference for most routine tasks in data-management and econometrics in R and Python [typically written in jupyter notebooks / forked and exported with to HTML H1-H4 headers for easy reference using the html-toc extension].
Under Review, 2019
pdfWorking Paper, 2020
with Saad Gulzar, Ben Pasquale
pdf | githubUnder Review, 2021
pdfUnder Review, 2021
with Mac Lockhart, Yiqing Xu, Ziwen Zu
pdf | github | siteMIT Conference on Digital Experimentation (CODE), 2021
pdf | slidesWorking Paper, 2021
pdf | github | slidesUnder Review, 2021
with Shuning Ge, Guy Grossman, Katrina Kosec, Benjamin Laughlin
pdfWorking Paper, 2022
pdf | posterWorking Paper, 2022
with Gaurav Sood, Avi Acharya, Derek Willis
pdfMIT Conference on Digital Experimentation (CODE), 2022
with Wenjing Zheng, Simon Ejdemyr
pdf | arXiv | github | slides | sitePublished:
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TA for Prof Jens Hainmueller
TA for Prof Justin Grimmer
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