A collection of things I’ve found useful for research, teaching, and navigating academia. I’ll update this periodically as I find new resources.
Mentoring & Professional Development
As a first-generation college student, I know how hard it can be to navigate into and around academia without existing connections. I try to volunteer my time as a mentor whenever possible, and I'd encourage anyone in a similar position to reach out.
- PhD Professionalism Workshop. A workshop I run for 2nd-5th year Economics PhD students covering best practices for workflow, conferences, presentations, and the job market.
- ASHEcon annual mentorship sessions, 2018-2025
- Research in Color, 2019-2021
- Association for Mentoring and Inclusion in Economics, 2022-2024
GitHub Repositories
Public code and data that others might find useful.
- Medicare Advantage. Code to organize and clean the CMS Medicare Advantage enrollment and plan data.
- HCRIS. Code to organize and clean the CMS Healthcare Cost Report Information System data.
Data Sources
Publicly available data useful for health economics and applied micro research.
- Google Dataset Search
- ICPSR (Inter-university Consortium for Political and Social Research)
- FRED (Federal Reserve Economic Data)
- NBER Public Use Data
- IPUMS (census, CPS, ACS, and more)
- CDC WONDER (mortality, natality, environmental data)
- Bureau of Economic Analysis
- Data is Plural (curated newsletter of interesting datasets)
Learning & Methods
Free textbooks, lecture series, and other resources for learning econometrics and causal inference.
- Causal Inference: The Mixtape (Scott Cunningham)
- Causal Inference: What If (Hernan & Robins)
- Econometrics (Bruce Hansen)
- The Effect (Nick Huntington-Klein)
- NBER Lecture Series
- AEA Continuing Education
- LOST (Library of Statistical Techniques)
Writing & Presenting
Advice on writing and presenting academic work.
- How to Give an Applied Micro Talk (Jesse Shapiro)
- Four Steps to an Applied Micro Paper (Jesse Shapiro)
- The Introduction Formula (Keith Head, via Marc Bellemare)
- Between the Introduction and the Conclusion (Marc Bellemare)
- Public Speaking for Academic Economists (Rachael Meager)
- Beamer Tips (Paul Goldsmith-Pinkham)
Useful R Packages
Packages I use regularly for applied econometrics and data visualization.
- fixest — Fast fixed-effects estimation (OLS, IV, Poisson, negative binomial)
- modelsummary — Publication-quality regression tables and data summaries
- bacondecomp — Goodman-Bacon decomposition for staggered diff-in-diff
- panelView — Visualize panel data and treatment timing
- sensemakr — Sensitivity analysis for omitted variable bias
- did2s — Two-stage diff-in-diff estimation (Gardner 2022)
- rdfanalysis — Researcher degrees of freedom / specification curves