Course Detail

Units:

3.0
Course Components:

Lecture

Enrollment Information

Enrollment Requirement:

Prerequisites: PhD Standing.

Description

This course introduces probability theory, statistical inference, and the basic linear model at a level suitable for applied work in economics and finance. The probability section covers random variables, distribution functions, conditional probability, expectations, and convergence concepts. The statistical inference portion covers method of moments, maximum likelihood, hypothesis testing, and estimator evaluation. The linear model section introduces ordinary least squares (OLS) regression, relaxation of the OLS assumptions, and simultaneous equations. Homework will involve computer programming in a language that supports matrix manipulation.