Resources

Learning Materials

Methods·Causal Inference

Causal Inference

Design-based and semiparametric tools for empirical research.

• fect / interflex / fdid (Xu) + Applied Empirical Methods (Goldsmith) — DiD/IV/RDD.
• Double Machine Learning (Ahrens et al., 2025) — Neyman-orthogonal moments + cross-fitting.
• Matching & Weighting (Imai) — propensity-score matching, IPW, covariate balance.

Methods·Computational

Computational Methods

Practical foundations for machine learning, language models, and agent simulations.

• The Missing Semester of Your CS Education (MIT) — shell, git, scripting, harness.
• Deep Learning for Economists — neural nets, sequence models, and LLMs.
• Natural Language Processing (CMU) — foundations of LLMs.
• Language Modeling from Scratch (Stanford CS336) — build and train LLMs from scratch.
• Agent-Based Simulation (Stanford CS222) — simulating social systems with LLM agents.

Economics·Empirical IO

Empirical IO

Industrial-organization tools and applications for marketing.

• Empirical IO (Conlon, NYU) — demand, mergers, productivity, dynamic choice.
• Handbook of the Economics of Marketing (Dubé & Rossi, 2019) — IO-for-marketing.

Economics·Information

Information Economics

Foundations for understanding information, search, and learning.

• Information Economics (Välimäki, 2014) — information economics basics.
• Digital Economics (Goldfarb & Tucker, 2019) — search, replication, tracking, verification costs.
• Information & Learning in Economic Theory (Liang, 2022) — the Blackwell order and learning.

Agent Skills

Reusable workflows·Research agents

Agent Skills

Structured workflows for common research tasks.

• Agent Configuration — configuring Claude Code for a research project.
• Web Scraping — structured web and social data collection.
• Literature Review — verified bibliographies via OpenAlex and Crossref.
• Big-Data Processing — Polars and DuckDB for data too large for Pandas.
• LLM Annotation — LLM data labels validated against a human gold-set.
• Visualization — publication figures in R + ggplot2.
• Slide Generation — Reveal.js reading-group decks from a paper.
• Conceptual Framework — source-grounded figures of a paper's constructs, relationships, and measurements.