One thing I regret from this course is the content of the video lectures. Having watch the first week's videos, I found that the professor mostly just read the slides - and did it in a very faithful and careful manner, not to miss a subscript .... This is quite devastating for me. I can read the slides myself (although I have to download it first, since the fonts on the screen are very small). What I need is the professor to explain the logic behind the formulas, the *why* behind what is written, instead of just reading *what* is written on the slides.

I find it amusing that with an expected learning of 8 hours a week, the total duration of the first week's videos add up to a mere 36 minutes. A couple of weeks ago I have just finished a course that subjectively is comparable in its difficulty level. That course is also rich in mathematical content and also requires a commitment of 4-8 hours per week. Each week, the duration of the lecture videos amount to somewhere between 120-150 minutes - and the lecturer didn't read slides; instead, he would explain the logic behind the concepts and provided papers for learners to read on our own time. That approach really helped scaffold my learning.

I hope you'd consider revisiting this course's learning plan - or probably just state on the course info page that this course is more suitable for a refresher course rather than an introductory one.

Rigorous condensed econometrics course with clear instruction. Great for my review of the subject, and most likely for anyone new to it who has the prerequisite skills.

Amazing for a person who would like to start with Econometric models at the most fundamental level. You will get a load of knowledge after you complete even if you know about econometrics. If you have difficulty in algebra and statistics, do start with the last week's lectures. They are the most difficult, but follow them until the end and do all the exercises. Also, the support of the teaching staff is outstanding when you have questions. Cannot recommend it more.

The course it's great , however in my opinion it's too theoretical with few practical examples.

If you're confortable with matrices and mathematics this course will provide you with very interesting tools and demostrations.

I don't think that the course is for casual students, as it's very specific.

Old fashioned Econometrics course, still using the ideas of fixed regressors (rather than the more sensible conditional models approach), emphasizing prediction instead of causal interpretation, etc.

It is false that such approach allows to introduce difficult econometric methods in an easy way: it has been for decades that modern and worldwide used handbooks (Wooldridge, Stock & Watson, Angrist & Piscke, etc) do it in a more sensible and opposite way. This is so not only because it is actually easier (learn just from the title of one the book by Angrist & Piscke: "Mostly Harmless Econometrics"), but also because fix the right concepts and way of looking at the problem: probability (not fixed things), conditional expectations, causality.

Very Good Course. However, The exercises were a bit challenging . Walk through of related examples would have helped a lot for the exercises.

Does require some mathematical background in Statistics. Intermediate to advanced course considering the complexity

it's a very deep course

EXCELENTE

This is a fantastic MOOC: it has depth, exercise questions with solutions, challenging assignments and background material. The quality of the lecture videos is excellent!

Depending on what you are looking for, this course might be too theoretic or mot theoretic enough:) IMHO it strikes the balamce quite nicely, although the forced theoretical parts in the tests kept me from buying the certificate. I simply want to be able to perform the analysis.

Very insightful about how to perform multilinear regressions, independly check relevance of each regressor, and simplify your models by eleminating unecessary regressors. Really useful hardskills, well explained by the teaching team, I recommend it.

The class could however benefit from less theory and more pragmatic advices when it comes to check relevance of regression. For instance, it should always favor sample testing over other tests, as even with 95% certainty or so, there is still 5% that your regression is not meaningful.

C'est une formation très intéressante

Grand merci équipes coursera et Erasmus Univeristy Rotterdam

Helpful for me. Thanks a lot!

I love this course. I'm a student in Economics and I took this course to have a complementary view to other econometric courses I have in my program; your explanations are good and intuitive. Thanks

I think it is good have a link and support for download statical softwares and guidance for use are.

Good revision for me of linear regression and basic time series.

This course very usefull

I totally recomend this course for those who are seeking to learn this challenging subject. The material presented in the course provides a great stimulous to stay on track and follow the course until the end.

The course is excellent, with a good balance between theory and practice.

The level is intermediate. I wouldn’t recommend it for beginners.

Great course, learned a lot. Thanks for your efforts.

top course for learners

very good

Highly recommend this course! Looking forward to learn an advanced version.

The design of the course is very Helpful and efficient. The course is well explained. The instructors are very clear and master the subject. They very detailed and well organized.

Thanks everyone that help to do this course a exemple of excellence instruction.