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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Apoorva Lal
alal
Posts
Cycle of Exclusion
Published:
Apoorva Lal (originally posted on Medium, published as Cycle of Exclusion in The Kathmandu Post)
notebook
Applied Econometrics / Causal Inference / ML Notes
Published:
Theory
Computing
Published:
Unix snippets for reference
Statistical Computing in Python and R
Published:
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].
research
Land Tenure and Missing Women: Evidence from North India
Under Review, 2019
pdfRepresentation and Forest Conservation: Evidence from India’s Scheduled Areas
American Political Science Review, 2020
with Saad Gulzar, Ben Pasquale
pdf | githubPolitical Consequences of Youth Franchise Extension: Evidence from India’s 61st Amendment
Under Review, 2021
pdfHow Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice based on Over 60 Replicated Studies
Under Review, 2021
with Mac Lockhart, Yiqing Xu, Ziwen Zu
| arXiv | githubMulti-Armed Bandits for Budget-Constrained Data Collection
MIT Conference on Digital Experimentation (CODE), 2021
pdf | slidesImproved Variable Selection for Regression and Balancing Estimators
Working Paper, 2021
pdf | github | slidesThe Electoral Consequences of Cellphone Coverage Expansion
Under Review, 2021
with Shuning Ge, Guy Grossman, Katrina Kosec, Benjamin Laughlin
pdfTobler meets Robinson: Semiparametric methods for Covariate Adjustment using Spatial Data
Working Paper, 2022
pdf | posterAsymmetries in Cricket
Working Paper, 2022
with Gaurav Sood, Avi Acharya, Derek Willis
pdfA Framework for Generalization and Transportation of Causal Estimates under Covariate Shift
MIT Conference on Digital Experimentation (CODE), 2022
with Wenjing Zheng, Simon Ejdemyr
pdf | arXiv | github | slides | sitetalks
Reproducible Geospatial Analysis in Python
Published:
PhD Causal Inference and Machine Learning
Published:
450B: Causal Inference (W:2021,2022)
TA for Prof Jens Hainmueller
450C: Machine Learning (S:2021,2022)
TA for Prof Justin Grimmer
Reading Group Slides
Published: