# 14.30 Introduction to Statistical Methods in Economics

Class Info

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. May not count toward HASS requirement.

This class has 18.02 as a prerequisite.

14.30 will be offered this semester (Fall 2019). It is instructed by A. Abadie.

Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in 2-190.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Introduction to Statistical Methods in Economics site.

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Tags

sampling theory
statistics
probability theory