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.
This class has 14.30 as a prerequisite.
14.32 will be offered this semester (Fall 2018). It is instructed by A. Mikusheva.
Lecture occurs 10:30 AM to 12:00 PM on Tuesdays and Thursdays in E51-376.
This class counts for a total of 12 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+14.32&btnG=Google+Search&inurl=https site or on the 14.32 Stellar site.
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