Economics Resources

📝 How to Write & Read an Economics Article

• How to Build an Economic Model (Hal Varian)
  A classic by Hal Varian recommended by my master thesis supervisor.

• LaTeX Paper Writing Tips
  A curated set of best practices and tips for writing academic papers in LaTeX, covering layout, formatting, and organization.

• Working Paper Template (FabienPetitEconomics)
  A ready-to-use LaTeX template for economics working papers, with standardized formatting and sample sections.

• How to Read an Econometrics Paper
  A step-by-step guide to effectively analyze an econometrics article and extract its key insights.

📊 Econometrics & Data Science

• causalQual (R)
  An R package for causal inference.

• QuantEcon Lectures (Python)
  Interactive Python lectures covering econometrics and quantitative modeling fundamentals.

• Coding for Economists (A. Turell)
  A comprehensive Python tutorial focused on data science and econometric applications.

• Sciencescape (Medialab)
  A platform from the Medialab offering tutorials on data analysis and text mining techniques.

• Inference Causale (in French)
  A French-language resource dedicated to causal inference methods and use cases.

• easystats (R)
  A suite of advanced R packages for statistical analysis and model interpretation.

• Causal Inference Mixtape
  Scott Cunningham’s practical reference for hands-on causal inference methods.

• DiD Digest (Substack)
  The go-to blog on Difference-in-Differences methods, with case studies and updates.

• Recent Advances in Applied Micro Methods (C. Cai)
  A PDF overview of the latest developments in applied microeconometrics techniques.

• Double Machine Learning Tutorial (dm13450)
  A hands-on tutorial on the Double Machine Learning method for causal inference.

📈 Data Visualization

• EconGraphs
  A collection of interactive charts to illustrate classic economic concepts.

• Interactive IO Graphs (Toxvaerd)
  Interactive visual tools tailored to Industrial Organization theory.

• bbplot (R)
  An R package for creating journalistically styled data visualizations inspired by BBC graphics.

🤖 LLM & AI for Social Science

• zeroshot-classifier (MoritzLaurer)
  A zero-shot NLI implementation for classification tasks in computational social science.

• Computational Social Science (CNRS – IPP)
  The CSS at IPP, offering tutorials and resources on computational social science.

• llm2vec (McGill-NLP)
  Tools to convert decoder-only LLM architectures into encoder formats for NLP tasks.

• ollama-r (Hauselin)
  Integration of open-source LLMs within R.

• Quanteda Tutorials
  Interactive tutorials for the quanteda R package, specializing in quantitative text analysis for social science research.

🏭 Industrial Organization

• Platform Strategies (Paul Belleflamme)
  A Substack providing in-depth analyses and case studies on digital platform strategies.

• Topics in Digital Economics/Industrial Organization (Paul Belleflamme)
  A video channel covering Industrial Organization and digital economics topics.

• Handbook of Dynamic and Empirical IO (V. Aguirregabiria)
  Handbook on dynamic and empirical methods in Industrial Organization.

🌍 Macroeconomics

• PhD Macro Book
  A free handbook for macroeconomics PhD students, covering theory, models, and applications.