A curated collection of resources, blogs, and guides on economics, education policy, advanced statistics, and academic workflows that I find highly valuable.
Academic Life & Writing
Chris Blattman's PhD Advice – General advice on navigating grad school, research, and academia (a favorite of mine since applying for my PhD).
Matt Might's Articles – Excellent general tips on productivity, academic writing, and effective computation.
The Thesis Whisperer – Highly recommended strategies and insights for writing, teaching, and academic learning.
Raúl Pacheco-Vega's Blog – In-depth, practical guides on literature reviews, reading strategies, and research management.
AI, Machine Learning & Workflow
Dario Sansone: ML & AI for Economists – An exhaustive compilation of machine learning and artificial intelligence resources tailored for econometric applications.
James Pustejovsky's Blog – Excellent posts focusing on meta-analysis methodology, single-case designs, and applied statistics in education research.
Roxanne Rivas' Resources – A helpful compilation of tools and datasets geared toward education research.
Statistics & Econometrics
Frank Harrell's Blog – Essential reading on biostatistics, clinical trial design, and robust predictive modeling.
Simply Statistics – Practical discussion of data science, statistical ethics, and the evolving role of biostatistics.
Clément de Chaisemartin – Essential working papers and software packages covering cutting-edge developments in Difference-in-Differences (DiD) and causal inference.
Solomon Kurz – A fantastic, code-heavy resource focused on Stan, Bayesian data analysis, and statistical modeling.