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ECON 425 Introduction to Econometrics

Theoretical and applied issues in statistics and econometrics. Statistical distributions, sampling theory, maximum likelihood methods of estimation and hypothesis testing, generalized least squares, measurement errors, non-normal errors, systems of equations, discrete-choice models, outliers, regression diagnostics, and model selection.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: All of ECON 325, ECON 326.


Status Section Activity Term Interval Days Start Time End Time Comments
  ECON 425 002 Lecture 2 Tue Thu 11:00 12:30