14.32 Econometric Data Science
Introduces multiple regression methods for causal inference and descriptive analysis in economics and related disciplines. Extensions include instrumental variables methods, analysis of randomized experiments and quasi-experimental research designs, and regression with time series data. Develops the skills needed to conduct - and critique - empirical studies in economics and related fields. Students complete an empirical project with a written description and interpretation of results; this may involve original data collection or use of existing data sets. Applications drawn from real-world examples and frontier research. Familiarity with statistical programming languages is helpful. Students taking graduate version complete additional assignments.
This class has 14.30 as a prerequisite.
Lecture occurs 9:00 AM to 10:30 AM on Mondays and Wednesdays in 32-155.
This class counts for a total of 12 credits.
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