Seminario de Análisis Empírico
Empirical analysis seminar: reading and replicating applied microeconomics research, with lecture slides and assignments.
Fall 2026
Tentative — subject to change during the term.
Syllabus
Slides
- Lecture 1 - Where data comes from: surveys, administrative records, and big data
- Lecture 2 - LLMs as a chat assistant
- Lecture 3 - R fundamentals
- Lecture 4 - Importing and cleaning data
- Lecture 5 - Transforming, joining, and reshaping data
- Lecture 6 - Programming: functions, iteration, and conditionals
- Lecture 7 - Data visualization with ggplot2
- Lecture 8 - GIS: spatial data and maps in R
- Lecture 9 - Correlation vs. causality I: selection bias and DAGs
- Lecture 10 - Correlation vs. causality II: the counterfactual
- Lecture 11 - Experiments: the gold standard
- Lecture 12 - Agentic LLMs: reproducible AI-assisted workflows
R Code
Problem Sets
- Homework 1 - Data sources
- Homework 2 - Setup and LLM critique
- Homework 3 - R fundamentals
- Homework 4 - Cleaning and logs
- Homework 5 - Joining and matching
- Homework 6 - Functions and iteration
- Homework 7 - Visualization
- Homework 8 - Choropleth maps
- Homework 9 - DAGs
- Homework 10 - The counterfactual
- Homework 11 - Balance and ATE
- Final project brief (data blog)