14.381 Statistical Method in Economics

Class Info

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 no prerequisites.

14.381 will be offered this semester (Fall 2018). It is instructed by A. Mikusheva.

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. This is a graduate-level class.

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