AEM 6850 - Empirical Methods for Applied Economists

Spring (weeks 8-14). 1.5 credits. Letter grades only (no audit).

Perequisite: AEM 6120 or higher.

A. Ortiz-Bobea.

The course introduces students to various empirical methods and practices necessary to conduct applied research and analysis in microeconomics in a data-rich world. The course format is “hands on” and students will conduct most of their work on computers in R. Students will be graded on 1- participation, 2- weekly empirical exercises and 3- final project (chosen by the student). Topics covered include: 1- basics of R programming 2- efficient coding practices for replication, team work and debugging 3- data gathering and manipulation 4- effective data visualization 5- basic analysis of spatial data and networks 6- numerical methods (Monte Carlo simulations, bootstrapping techniques).

Outcome 1: Students will become proficient in basic programming in a statistical software.

Outcome 2: Students will be capable of gathering, manipulating and visualizing various types of data.

Outcome 3: Students will employ numerical methods in applied research.

Outcome 4: Students will apply techniques for analyzing original economic questions.

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