Introductory Econometrics

Jeffrey M. Wooldridge, Mokhtarul Wadud, Jenny Lye

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H1 (92) Econometrics 1 Notes

A detailed yet concise set of notes to help you achieve your H1! Topics: - Introduction - Proba...

34 pages, 13103 words

H1 ECOM20001 Econometric 1 Final Revision Note

Completed the subject ECOM20001 Econometric 1 in S1 2022 and achieved a H1. Content covered: 1. Pr...

23 pages, 3371 words

Exclusive summary of R-codes (90+, top scorer)

Provides an exclusive summary of all the important R-codes that will be used in completing the assig...

3 pages, 1077 words

H1 (97) Econometrics 1 Notes

Notes include the following topics: 1. Probability and Statistics 2. Single Linear Regression 3...

76 pages, 11900 words

ECOM20001 - Econometrics 1 Notes

This is a comprehensive compilation of information from ECOM20001 lectures, the textbook, tutorials,...

22 pages, 6375 words

H1 Econometrics Condensed Notes

Weeks 1-12 lectures and tutorials consolidated into easy to read and refer notes, very useful and he...

24 pages, 6061 words

Introductory Econometrics Summary

- Apply the least-squares method of estimation to the context of the simple linear regression model....

24 pages, 6038 words

H1 Exam Notes

All notes necessary to study for the exam

30 pages, 3735 words

Introductory Econometrics HD Notes

Comprehensive and detailed notes from both the textbook and the lecture slides/tutorials

90 pages, 14495 words

ECOM20001: Introductory Econometrics Subject Notes

Includes relevant formulae covered during the semester and formula sheet for end-of-year examination...

15 pages, 3000 words

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Reviews

Dave Byrne is a fantastic lecturer, subject is excellent coordinated. Content is relatively interesting (although often tedious) and useful but fairly chill. R knowledge is minimal but assignments can get tedious. Overall really good introductory econometrics subject with zero complaints.

Anonymous, Semester 1, 2021

Overall a really great subject with practical elements involving using R. Would highly recommend even if have taken QM2

Anonymous, Semester 1, 2018

Great subject to help you build your quantitative skills and highly useful in corporate world.

Anonymous, Semester 2, 2016

The content was genuinely fascinating. Learning how to use R was probably the highlight of the subject. However, the delivery was quite dry. Assignments were okay as long as you familiarize yourself with R, which you certainly will throughout the course. Although difficulty wise, this subject was okay, do not underestimate the exam. The exam was unlike the previous semesters' and so caught me off-guard, as it was more theory-based and had significantly fewer assignment/tutorial-type questions. Understanding the theory and knowing the steps to conduct different tests or to construct various types of regression models is crucial to do well at this subject.

Anonymous, Semester 1, 2019

Decent course material, just poorly executed. Tutorials were rather pointless, and would've preferred exam-style questions to practise upon instead of just R code (a balance would be nice). Final exam was very different from previous ones.

Anonymous, Semester 1, 2019

This subject goes into a lot of depth into the theory behind the regression model and cultivates a lot of applicable skills to the workplace and everyday life. Highly recommended.

Anonymous, Semester 1, 2017

Topics include review of statistics; F and X 2 distributions; review of simple linear regression model; multiple linear regression model; hypothesis testing, forecasting, diagnostics with regression models (including heteroskedasticity, serial correlation and model specification). Examples drawn from economics, finance, accounting, marketing and management will be illustrated using EVIEWs.

Anonymous, Semester 2, 2016

This subject goes into a lot of depth into the theory behind the regression model and cultivates a lot of applicable skills to the workplace and everyday life. Highly recommended.

Anonymous, Semester 1, 2014

First of all, I am not a strong maths person. And I hated qm1 but I really enjoyed this subject. It's very similar to qm1 in terms of theory but the lecturer is excellent and tutorials are well organised. I got almost full mark for assignments even I did not read any textbooks but only lecture notes. I recommend this over qm2.

Anonymous, Semester 1, 2014