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.

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.

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

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.

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.

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.

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!

it's a very deep course

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.

Very useful course for those who want to learn what is behind econometric tools and what their limitations are. The combination between practice and theory makes it an exciting learning experience that is worth the time investment. For those, like myself, that were not 100% up to speed at the start, a significant time investment is needed. To finish the course I had to spend in excess of 20 hours a week to satisfactorily understand the material and be able to reproduce the main takeaways. I am sure the course can be successfully completed with less effort, but grasping the essence of the material made sense to me as I am trying to get a better idea of how to use econometric tools. Conclusion: it is completely worth your time, but if you are not sufficiently well versed in math and statistics, basic college level, you will need to make a significant time investment to make full use of the material.

This course is great and satisfying. It's also challenging and demanding. It teaches you how to apply regression and time series to build model for forecasting real world events. It also requires you to have certain level of calculus, linear algebra and statistics to understand the underlying theory. Besides, statistics tools, like R, SPSS or Excel (of your choice), is a must for you to do exercises and projects. Studying all those videos, slides and exercise would take you many hours a week, but you will be very satisfying with modeling skills and working knowledge of time series learned from the course. Studying this course is a wonderful and unforgettable experience for me. I strongly recommend it to those who want to build a solid foundation of modeling data (not only economical data).

The first time I took this course, I basically "rage quit". I found it difficult to follow the proofs and the heavy use of linear algebra scared me. After one year I returned to it (with more knowledge of the prerequisites) and loved it. This is an outstanding course that covers some common topics in econometrics in good detail. While the course tries to develop your intuition, there is also some work applied to mathematical proofs. The only minor complaint that I have is that it still lacks some material on how to apply the methods using common programming languages or statistical software. Nevertheless, most of the applied assignments can be done using basic commands (at least in R). If you have a good grasp of the prerequisites, I definitely recommend this course.

The most strongly recommended.

All the knowledge involved is very difficult. But this is exactly what I want. I view myself as a smart guy. But believe me, you will spend more time than the suggested time cost on the website. But all the payout is worthy.

If you don't have enough statistic knowledge, it's okay. But I think you should go over the optional week 8 materials very carefully before you study this course. And I think week 8 materials are enough.

Every week has 5 parts, and after every part, there is a small training exercise to solid your understanding. And at the end of every week, there is a peer-reviewed test. And believe me, if you complete all the well-designed training and tests 100%, you will no longer fear for the relevant problem.

I like the structure of the course that different professor is in charge of different chapter but the contents of each chapter are linked to the others. Each chapter offers different topic (of course) but the style and structure are the same. In detail, there are always theoretical and practical part as well as small quizzes in each chapter. In addition, the guideline and syllabus provide students with great details. On top of that, chapter assignments are provided with solution which are necessary for students to check their knowledge.

I would love to participate in follow up course which might deal with more advanced topics after this basic one.

Excelente diseño. Felicito sinceramente a todo el equipo de profesores y administradores que hicieron posible que se ofrezca este curso en línea. Sé que hay MUCHÍSIMO trabajo detrás de este curso que a veces pareciera no se valora. Creanmelo, han logrado un curso de muy buen nivel que seguramente se irá perfeccionando con las aportaciones de todos. Es perfectible. En lo particular, me ha permitido moverme de mi zona de confort para no perder de vista la importancia de la enseñanza de las demostraciones en el campo de la Econometría. Muy buen precio. Seguiré participando.

Atte.

Juan José Mendoza Alvarado

Universidad Autónoma de Nayarit

The course is well-designed with daily exercises for practice, and weekly tests (7) incl. Case Study in the last week. The course indeed helped me a lot to refresh theoretical knowledge that I learned nearly 2.5 decades ago during graduation/ master degree in Statistics. It's worth trying if you are interested and comfortable with statistical software (Stata, SAS, R) or Excel with add-ins (eg RealStats). Although I use Stata on a daily basis, I solved all problems in Excel Data Analysis and RealStats add-in in order to understand each steps clearly.

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.

Very good course, not many available online courses on this subject.

Warning: Course is very fast paced (and the instructors give only broad hints as they move from 1 step to the next and it is left to us to figure out stuff - which is how it should be of course). Therefore expect to be kept busy throughout the course.

I barely had any previous knowledge on the subject, so folks with some basic understanding of the subject may have a different view

This is an excellent course.

There are two things that I really hope to get in the future:

I would appreciate if there is a guide for solving all problem with Mathlab or R or any Statistics package

And, I would like to see Econometrics 2 (which is more about pannel data)

Thank you for all of your effort

Best wishes for you

PHAN Truong Quoc

Excelente curso, muy bien ideado con muchos ejercicios para que queden bien grabados los conceptos, en un nivel no tan básico pero con toda la información necesaria para lograrlo. De los mejores cursos que he tomado en Coursera. Soy economista y lo tomé para repasar y fue mejor de lo que esperaba.

Excellent faculty. The concepts from week 1 till Week 8 has been very exhaustive and worth the time.

I have learnt a lot in these 8 weeks of the course.

In the end, I would like to thank all faculty members in the course for explaining such complex concepts in a simple and easy manner.

concise effort has been deployed during the course to make econometrics accessecible, comprehensible by the simplicity of the lecture presentation, by the exercices training very closed to lectures. It'was so confortable to participate to this course.

Good experience! Very well organised and presented, given the limitations of the MOOC format. All key topics are covered lucidly and succinctly. Maybe a follow-up course on advanced topics like Stochastic Regressors, Panel Data, etc could be offered?

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.