Вернуться к Econometrics: Methods and Applications

4.6

Оценки: 756

•

Рецензии: 154

Welcome!
Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.
* What do I learn?
When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises.
* Do I need prior knowledge?
The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module.
* What literature can I consult to support my studies?
You can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.
* Will there be teaching assistants active to guide me through the course?
Staff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.
* How will I get a certificate?
To gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.
Have a nice journey into the world of Econometrics!
The Econometrics team...

Nov 16, 2015

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.

Jun 09, 2016

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.

Фильтр по:

автор: Andrea K I

•Mar 26, 2016

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.

автор: Graham T

•Oct 23, 2018

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.

автор: Bruno A C A

•Sep 06, 2018

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.

автор: Zoltan A S

•Jan 02, 2016

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.

автор: Pedro A

•Oct 05, 2017

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.

автор: Daniela C

•Apr 09, 2018

EXCELENTE

автор: Alesia N

•Jan 06, 2019

it's a very deep course

автор: Nishikant C

•May 07, 2019

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

автор: Christian K

•Jan 09, 2019

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.

автор: Axel-Cleris G

•Nov 21, 2018

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

автор: mittal.hitesh.92@gmail.com

•Feb 07, 2019

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

автор: mohammed a

•Mar 14, 2019

C'est une formation très intéressante

Grand merci équipes coursera et Erasmus Univeristy Rotterdam

автор: DƯ T T

•Sep 09, 2018

Helpful for me. Thanks a lot!

автор: Dayane G

•Sep 19, 2018

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

автор: Rudolf V

•Dec 09, 2016

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

автор: hiras n

•Nov 24, 2016

This course very usefull

автор: Antonio B

•Jan 12, 2016

Excellent material and lectures. Top notch.

автор: Thongchart B

•Nov 01, 2017

explain clearly

автор: Ke-Chung " L

•Mar 14, 2017

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).

автор: Don A E

•Jan 01, 2016

Nice overview of econometric theory.

автор: Carlos J R R

•Jan 07, 2016

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.

автор: Venu R

•Dec 17, 2015

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

автор: Danilo C P

•Feb 10, 2017

Really insightfull course.

автор: Bilous V

•Nov 03, 2015

very good

автор: Filip N

•May 05, 2016

Good and challenging course.

Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.