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Reading notes
A curated collection of reading notes, citation-ranked literature reviews, and research-strategy memos. Each category below is a self-contained Type with its own pages, table of contents, and notes.
The AI / economics literature reading project. NBER 2025 volume notes, Nobel + Clark laureates on AI, a 200-paper citation-ranked AI Lit Review across 49 top journals, and a research-strategy scorecard tied to the iOS App Store paper.
74 citation-ranked DiD papers (methodology + empirical landmarks) across 23 top econ venues, 2007-2026. Plus a focused methodology deep-dive on time-heterogeneous effects, two-shock designs, identifying assumptions, and parallel-trend tests under the modern (post-Goodman-Bacon-2021) consensus.
Additional reading projects will live here as separate categories. Each gets its own dedicated sidebar, table of contents, and self-contained set of notes.
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Literature Readings ยท curated reading notes