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.

Too much math with not enough explanations.

No explanations on how to solve the exercises on any software.

Exercices are very long (the "10 minutes"/exercise is just a joke - one took nearly an hour). Correction of the exercises are poor (just written answers on paper).

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.

if this is the first time taking econometrics, do not take this course. you will have a hard time.

by no means is this for first-timers.

Not much teaching going on here. The concepts are barely touched on before the student is asked to jump into training exercises that require lengthy proofs of concepts not thoroughly taught.

This course is a joke

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 practical, I would urge people who intend to take this course to come to this course with at least some knowledge of econometrics and statistics. It would come in handy.

This course is poorly taught, leaving out almost all intuition of what's going. the lectures don't adequately describe the materials used for the exercises, which is where the large majority of the actual learning takes place, however it is often harder to parse what the questions are really asking and why they are asking these questions than than the questions themselves.

Overall I'm sure this course is technically accurate and rigorous, but I am often not sure why as the material is not remotely made interesting nor is it well explained.

"Now I invite you to train yourself by making the training exercise." has become my least favorite sentence in the English language.

The class recording could have been made simple. Lots of notations, and would definitely be difficult for people without prior econometrics background.

If I can understand all of these derivatives, why shall I attend your course? It is not helpful course, especially for persons looking for some practical econometrics applications rather than focusing on the mathematics side of it.

Besides the videos there was low supporting content. I needed to search a lot online to find information that were needed. Waste of money.

poor!

If you have to pay for the certificate itself, then the course can't be too serious or maybe even that much helpful.

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.

Course was very well structured, pacing was very pleasant (albeit a little fast for the chapter about time series). Teachers were top notch! I had lots of fun while learning . Thank you!

It´s a great course, it offers many tools to deal with the different issues of econometrics, it´s challenging, but that´s the idea of a course, it makes you learn and think

I find this course excellent. It is a well balanced course in combining econometric theory and its application. The fact is that to apply econometric theory one needs to understand fair bit of econometric method (that includes matrix algebra, some properties of inner product space etc.) as well as how to apply those concepts in practice. In this respect this course does serve its purpose very well.

Overall, this course focuses some fundamental aspects and properties of cross-sectional data and time series data. Therefore, it provides one a good foundation (over 8 weeks) so that one can carry out one's future quest regarding any empirical topic by oneself ! I admit that modern econometric theory develops more sophisticated techniques but all of them share one common aspect i.e. they are based on more or less the same fundamentals or properties. Indeed, this course has been designed carefully by targeting those fundamentals and properties. Thus it might be very helpful to follow the modern econometric techniques.

However, this course does not talk about the panel data analysis, which share both the cross-sectional and time series properties (more or less). In my opinion it might be better to have at least additional one week session on panel data. In particular, when the data set shares both cross-sectional and time series properties, which set of properties will be dominant or how the estimation technique incorporates the variation of two dimensions (i.e. cross-sectional and time ) etc.

Finally, I like to thank all the teaching members and moderators of this course. I have enjoyed the lecture slides and videos very much.

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!

The guy keeps reading presentations. There's no real life examples that can illustrate all the theory given. The solutions to the excercises are literally just solutions, they aren't explained or anything. So, if I didn't understand something, well then I'm done because no one explained.