Introduction to Econometrics

Lecture, three hours; discussion, one hour. Enforced requisites: courses 11, and 41 or Mathematics 170A and 170B or 170E and 170S or Statistics 100A and 100B. Enforced corequisite: 103L. Introduction to theory and practice of univariate regression analysis with emphasis on its use in economics. Introduction to method of least squares, Gauss-Markov theorem, confidence intervals and hypothesis tests in univariate regression context, and standard errors in case of heteroscedasticity and serial correlation. Emphasis on applications with real data and computer software (R programming language) to implement discussed methods. P/NP or letter grading.

Review Summary

Clarity
8.3 / 10
Organization
8.3 / 10
Time
0-5 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Fall 2023 In-Person
    Grade: A+

    The instructor was really nice and understanding! The class lectures were well prepared and it looked as if the instructor was genuinely concerned about getting the concepts across to his students

    Quarter Taken: Fall 2023 In-Person
    Grade: B

    Lucas Zhang provides lecture notes as well as his written lecture notes during class. The class is also recorded, which was helpful when I wanted to review the lecture. Both midterm and final exam are multiple choice questions, but the questions were difficult. Homeworks are relatively straightforward and simple compared to other economics classes. Overall, Econ 103 is one of the better economics core classes.

Course

Instructor
Zhang, Z. and McDevitt, E.P.
Previously taught
23F

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 50% recommend the textbook

Previous Grades

Grade distributions not available.