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.

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

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.

it's a very deep course

EXCELENTE

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.

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.

Great course!

Great. Applied knowledge focus.

Very good insights and step by step methods.

It is more theoretical (manual calculations of different methods) than applied and should be completed by another course for this matter.

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

Excellent learning , though some hands on practice on tools like R and other software should also be made the part of the course.

There was a drastic increase in difficulty in week 6 and 7 from the rest of the course.

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.

Helpful for me. Thanks a lot!

Good content and quality. Coming from machine learning this gave me a new perspectives, e.g. a topic like endogeneity or the different kind of statistical tests.

I did the course using R, RStudio and R Markdown for the course assignments and that worked great. However, the course is taught without any reference to specific software packages and I think that's a big plus.

Some of the assignments were too academic for my taste (proving statements). I would have rather liked more examples showing different aspects and situations of the taught topics.

Useful to have a global view of econometric methods.

Thank you.

Good course, I would recommend people who have basic knowledge about statistics and linear algebra take this course if the topic of econometrics interest you.

Great course to learn and to apply analytics in any field of management

Nice, clear and crisp instructions. Assignments are also well made and really helpful.