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Learner Reviews & Feedback for Econometrics: Methods and Applications by Erasmus University Rotterdam

4.6
stars
1,167 ratings

About the Course

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. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam. * 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...

Top reviews

DT

Feb 13, 2020

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!

JJ

Nov 15, 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.

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176 - 200 of 251 Reviews for Econometrics: Methods and Applications

By Armando S

Apr 10, 2020

Excellent Course

By Rustamzad G

Feb 24, 2023

Good experience

By Thongchart B

Nov 1, 2017

explain clearly

By Narmin A

Apr 23, 2020

Perfect course

By Bjorn S

Jun 23, 2019

Great course!

By Bawa J D

Jul 12, 2020

great course

By mandeep k

Jul 28, 2020

best course

By Qiong D

May 18, 2016

Thank you v

By Rafael H T G

Aug 10, 2020

Excelllent

By Deleted A

Jun 20, 2018

Thank you.

By Alizada T

Apr 12, 2020

Very good

By Daniela C

Apr 9, 2018

EXCELENTE

By Alejandro C

Feb 15, 2017

very good

By MD W H

Aug 9, 2016

Important

By Вячеслав Б

Nov 3, 2015

very good

By Ulisses O

Mar 21, 2024

AMAZING

By Aymen A

Jul 11, 2020

perfect

By Jhon A A C

Jun 6, 2017

Good.

By Saket B

Jun 25, 2017

nice

By Ivan S

Jul 28, 2016

cool

By Tania K M L

Nov 18, 2023

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By Tran D B

Aug 1, 2017

d

By Taylor B

May 8, 2016

This course is not for someone who hasn't taken much advanced math. There's a strong requirement of linear algebra, calculus, and probability. Someone who is relying only on the math prep they give you in the course will likely be very under-prepared for some of the more theoretical homework assignments.

With that disclaimer out of the way, this course gives a fairly good overview of important econometric techniques, though I wish they would have done more with time series analysis.

A major shortcoming of this course is some of the more complicated material (RESET test, Chow test, endogeneity, etc) were not presented in a complete way (in my opinion). I found myself referring to quite a few outside sources in order to figure out some of the more complicated material. Keep this in mind when taking the class and give yourself extra time to read farther into the concepts discussed in class.

By Arcangel M

Jan 20, 2020

The course is very dense in content and sometimes with many concepts that do not go deeper and are then required in the tests. In my opinion, the course should be divided into two courses, especially extending the part of Time Series and with a much more practical approach with real cases and with prediction models. So I encourage the people of this university to do a second part more focused on applying the concepts in real cases explaining everything in more detail. For the rest, the course has a high level and it is necessary to have previous statistical and mathematical knowledge.

By Josiah N

Sep 28, 2016

Good information, and detailed mathematical representation of the concepts, but often you will have to do outside research to truly understand the material, and the building blocks are not very helpful beyond a basic refresher course on matrices and statistics. This class requires a lot of studying and initiative to seek outside help to understand the material.

If more time was dedicated to truly explaining the concepts and principles and the REASONING behind them instead of just supplying equations and test names, this class would get a 5 star rating.