ECON 103
Introduction to Econometrics
Description: 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.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2023 - He was a great professor, and I learned a lot in his class—especially compared to my previous experience where I learned nothing. The only downside was that he taught Python instead of R, making it challenging to catch up in Econ 104. He was super chill, though sometimes hard to understand due to his accent. I recommend him if you’re just trying to pass, but not if you want to be fully prepared for 104 My review to other professors: https://www.reddit.com/r/ucla/comments/1gmshzu/review_of_econ_professors_as_a_transfer_student/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button
Fall 2023 - He was a great professor, and I learned a lot in his class—especially compared to my previous experience where I learned nothing. The only downside was that he taught Python instead of R, making it challenging to catch up in Econ 104. He was super chill, though sometimes hard to understand due to his accent. I recommend him if you’re just trying to pass, but not if you want to be fully prepared for 104 My review to other professors: https://www.reddit.com/r/ucla/comments/1gmshzu/review_of_econ_professors_as_a_transfer_student/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button
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