Blog
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In this post, I’m going to expand on the basics I laid out more informally here. I’m going to define some commonly used notation and key terms that I plan to use as other posts, so that this post can…
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Explaining vs. Predicting
I came across two nice written pieces recently. These and other closely related points have been made for a long time, and I’ve made related points before. I think it’s an underappreciated and somewhat counterintuitive point, so I like to…
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Confidence Intervals
On Friday, I responded to a prompt on the platform formerly known as Twitter asking for controversial statistics opinions. I offered one of my own: This take did prove controversial—I saw people some people I consider very smart who agreed…
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Causal Inference Basics
The goal of causal inference is to understand the effect of an intervention. We want to estimate the difference between what happens if people receive a treatment compared to what would have happened if they hadn’t been treated. Some examples…
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Workshop for Ukraine: “Conducting Simulation Studies in R”
On Thursday, I led a workshop on conducting simulation studies in R to raise money to support Ukraine. It was a lot of fun walking through what simulations studies are, why you might want to conduct one, and how to…
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New Draft of “Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions”
I’m excited to share that I posted an update to “Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions” on arXiv. Mainly what’s new in this draft is added theory, but there are some other minor changes. The most…
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Presentation on Fused Extended Two-Way Fixed Effects
On Thursday, I was lucky to present Fused Extended Two-Way Fixed Effects to the causal inference reading group at USC. I’m very grateful to Angela Zhou, Zijun Gao, and Dennis Shen for hosting me, Jacob Bien for putting me in…
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New Paper: “Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions”
I have a new paper on arXiv (link) that proposes a novel machine learning estimator for difference-in-differences with staggered adoptions, fused extended two-way fixed effects (FETWFE). Its main advantage over existing methods is that it is more efficient. Unlike existing…
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Presentation at Data Con LA 2023 on PRESTO
On Saturday I gave the presentation “Predicting Purchases, Rare Diseases, and More: Using Ordinal Regression to Estimate Rare Event Probabilities” at Data Con LA 2023. I discussed using the proportional odds ordinal regression model to improve the estimation of probability…
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How to conduct a simulation study
Simulation studies (sometimes called synthetic data experiments or Monte Carlo simulations) are useful tools for generating evidence about whether a statistical claim is true. For example: Here’s the idea: Recently I taught a tutorial on the basics on simulation studies…
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