Subject: Economics
Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours and 1 Practicum/Lab hours
College: Graduate and Postdoc Studies
Department: Economics

The fundamentals of estimation and inference in the classical regression model, with applied laboratory sessions using actual economic data. Topics covered typically include: multiple linear and non-linear regression models; least squares; maximum likelihood; instrumental variables; statistical properties of estimators; asymptotic theory; restrictions; measurement error; serial correlation; heteroskedasticity; systems of equations.

Note: Students with credit for BPBE 860 will not receive credit for this course.

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