14.300 Introduction to Statistical Methods in Economics
Self-contained introduction to probability and statistics with applications in economics and the social sciences. Covers elements of probability theory, statistical estimation and inference, regression analysis, causal inference, and program evaluation. Couples methods with applications and with assignments involving data analysis. Uses basic calculus and matrix algebra. Students taking graduate version complete additional assignments.
This class has no prerequisites.
This class counts for a total of 12 credits. This is a graduate-level class.
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