14.381 Statistical Method in Economics
Introduction to probability and statistics as background for advanced econometrics and introduction to the linear regression model. Covers elements of probability theory; sampling theory; asymptotic approximations; decision-theory approach to statistical estimation focusing on regression, hypothesis testing; and maximum-likelihood methods. Includes simple and multiple regression, estimation and hypothesis testing. Illustrations from economics and application of these concepts to economic problems. Enrollment limited.
This class has 18.02 as a prerequisite.
Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in E51-151.
This class counts for a total of 12 credits.
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