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The NBER is amazingly consistent with the release of their working paper series. Every Monday at 12 am, the new list arrives in my inbox (I have yet to experience the epsilon probability world in which it does not, as in Rubenstein (1989)). Unlike most organizations, the NBER keeps this schedule even through the holiday season. As we continue through this period filled with food, football, and everyone’s favorite: family, papers are continually released as new working papers or publications potentially delayed by backlogs and administrative processes. This raises a natural question: are these papers’ circulation or citations being affected by their release date?

Delivery services such as DoorDash and Instacart, which have grown rapidly in the past decade especially with COVID, allow for a more precise labor-leisure tradeoff. Households no longer need to dedicate time to weekly grocery runs or interrupt what they are doing to prepare or pick up meals. These services let individuals reallocate time toward paid work or leisure activities when they value their time more than the delivery fee.

John Arnold recently highlighted the figure below from one of Jeff Asher’s Substack posts. This got me thinking about how viral trends from TikTok or other platforms might create exogenous variation that can be exploited for causal inference.

This page compiles books, presentations, and other resources that I’ve found useful. It’s most relevant for reduced-form applied microeconomists and will continue to grow as I add new materials.

I taught my first class, Principles of Microeconomics, in Summer 2025. In the last two sessions of the course, I included a section on the basics of investing for retirement. I am passionate about financial literacy and education, and I shared some of what I have learned with my students to give them a baseline understanding. You can download this presentation here.

During my time as a first-year student, I created many “guides” to help me with the content. After passing my core exams, I became the TA for the Ph.D. microeconomics courses for the following cohort. During that time, I consolidated all of my microeconomics guides into two PDFs. These guides are based on lecture notes and problems from Dr. R. Vijay Krishna and Dr. Luke Boosey. Although I am not a theorist, I hope these materials prove helpful to other Ph.D. students in economics. Any and all mistakes are my own.

One of my recent research ideas combines the identification strategy of Bayer, Hjalmarsson, and Pozen (2009) with the random peer assignment design in Lyle (2007). Bayer, Hjalmarsson, and Pozen show that exposure to peers who committed specific crimes increases a juvenile’s likelihood of committing those same crimes after release. I sought to extend their work by testing whether the severity of peers’ crimes further amplifies these effects.