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DDD Estimators and Distributional Effects
A discussion of recent developments in Difference-in-Differences (DDD) estimation, focusing on how to account for distributional effects....
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One Sample to Rule Them All? The Subtle Power of the Bootstrap
How resampling from your own data can reveal an estimator's uncertainty: the logic and limits of the bootstrap.
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Multi-Armed Bandit (MAB) as an Alternative to A/B Testing: a Simulation using R
Earn while you learn: comparing bandit algorithms that optimize experiments in real time.
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Scraping the Online Job Posting Data: 'Indeed.com'
Collecting 100k+ AI job postings from Indeed using R for labor market research.
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Collection of Useful Packages, Cheat Sheets (R and Python), and Tips
A curated list of go-to packages and resources for data science workflows.