4.5

626 ratings

•

132 reviews

Erasmus University Rotterdam

About this 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.
* 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

Start instantly and learn at your own schedule.

Suggested: 7 weeks of study, 4-8 hours/week

Subtitles: English

EconometricsLinear RegressionData AnalysisEviews

Start instantly and learn at your own schedule.

Suggested: 7 weeks of study, 4-8 hours/week

Subtitles: English

Section

...

2 videos (Total 9 min), 2 readings

Course Guide - Structure of the MOOC11m

Course Guide - Further information10m

...

5 videos (Total 39 min), 11 readings, 1 quiz

Lecture 1.2 on Simple Regression: Representation7m

Lecture 1.3 on Simple Regression: Estimation7m

Lecture 1.4 on Simple Regression: Evaluation8m

Lecture 1.5 on Simple Regression: Application6m

Dataset Simple Regression1m

Training Exercise 1.10m

Solution Training Exercise 1.110m

Training Exercise 1.20m

Solution Training Exercise 1.210m

Training Exercise 1.30m

Solution Training Exercise 1.310m

Training Exercise 1.40m

Solution Training Exercise 1.410m

Training Exercise 1.50m

Solution Training Exercise 1.510m

Section

...

6 videos (Total 45 min), 13 readings, 1 quiz

Lecture 2.2 on Multiple Regression: Representation9m

Lecture 2.3 on Multiple Regression: Estimation8m

Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8m

Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5m

Lecture 2.5 on Multiple Regression: Application9m

Dataset Multiple Regression1m

Training Exercise 2.130m

Solution Training Exercise 2.110m

Training Exercise 2.20m

Solution Training Exercise 2.210m

Training Exercise 2.30m

Solution Training Exercise 2.310m

Training Exercise 2.4.10m

Solution Training Exercise 2.4.110m

Training Exercise 2.4.230m

Solution Training Exercise 2.4.210m

Training Exercise 2.50m

Solution Training Exercise 2.510m

Section

...

5 videos (Total 41 min), 11 readings, 1 quiz

Lecture 3.2 on Model Specification: Specification9m

Lecture 3.3 on Model Specification: Transformation8m

Lecture 3.4 on Model Specification: Evaluation8m

Lecture 3.5 on Model Specification: Application9m

Dataset Model Specification1m

Training Exercise 3.10m

Solution Training Exercise 3.110m

Training Exercise 3.20m

Solution Training Exercise 3.210m

Training Exercise 3.30m

Solution Training Exercise 3.310m

Training Exercise 3.40m

Solution Training Exercise 3.410m

Training Exercise 3.50m

Solution Training Exercise 3.510m

Section

...

5 videos (Total 44 min), 11 readings, 1 quiz

Lecture 4.2 on Endogeneity: Consequences8m

Lecture 4.3 on Endogeneity: Estimation8m

Lecture 4.4 on Endogeneity: Testing7m

Lecture 4.5 on Endogeneity: Application9m

Dataset Endogeneity1m

Training Exercise 4.10m

Solution Training Exercise 4.110m

Training Exercise 4.20m

Solution Training Exercise 4.210m

Training Exercise 4.30m

Solution Training Exercise 4.310m

Training Exercise 4.40m

Solution Training Exercise 4.410m

Training Exercise 4.50m

Solution Training Exercise 4.510m

Section

...

5 videos (Total 45 min), 12 readings, 1 quiz

Lecture 5.2 on Binary Choice: Representation9m

Lecture 5.3 on Binary Choice: Estimation9m

Lecture 5.4 on Binary Choice: Evaluation8m

Lecture 5.5 on Binary Choice: Application9m

Dataset Binary Choice1m

Training Exercise 5.10m

Solution Training Exercise 5.110m

Training Exercise 5.20m

Solution Training Exercise 5.210m

Training Exercise 5.30m

Solution Training Exercise 5.310m

Training Exercise 5.40m

Solution Training Exercise 5.410m

Dataset for Lecture 5.5 on Binary Choice: Application1m

Training Exercise 5.50m

Solution Training Exercise 5.520m

Section

...

5 videos (Total 52 min), 11 readings, 1 quiz

Lecture 6.2 on Time Series: Representation10m

Lecture 6.3 on Time Series: Specification and Estimation11m

Lecture 6.4 on Time Series: Evaluation and Illustration10m

Lecture 6.5 on Time Series: Application11m

Dataset Time Series1m

Training Exercise 6.10m

Solution Training Exercise 6.110m

Training Exercise 6.20m

Solution Training Exercise 6.210m

Training Exercise 6.30m

Solution Training Exercise 6.310m

Training Exercise 6.40m

Solution Training Exercise 6.410m

Training Exercise 6.50m

Solution Training Exercise 6.510m

Section

...

1 quiz

Section

By studying this module, you get the required background on matrices, probability and statistics. Each topic is illustrated with simple examples, and you get hands-on training by doing the training exercise that concludes each lecture. Three lectures on matrices show you the basic terminology and properties of matrices, including transpose, trace, rank, inverse, and positive definiteness. Two lectures on probability teach you the basics of univariate and multivariate probability distributions, especially the normal and associated distributions, including mean, variance, and covariance. Finally, two lectures on statistics present you with the basic ideas of statistical inference, in particular parameter estimation and testing, including the use of matrix methods and probability methods. ...

7 videos (Total 84 min), 16 readings

Lecture M.2: Special Matrix Operations14m

Lecture M.3: Vectors and Differentiation11m

Lecture P.1: Random Variables11m

Lecture P.2: Probability Distributions9m

Lecture S.1: Parameter Estimation11m

Lecture S.2: Statistical Testing13m

Structure20m

Training Exercise M.10m

Solution Training Exercise M.110m

Training Exercise M.20m

Solution Training Exercise M.210m

Training Exercise M.30m

Solution Training Exercise M.310m

Training Exercise P.10m

Solution Training Exercise P.110m

Training Exercise P.20m

Solution Training Exercise P.210m

Dataset for Lecture S.1 on Parameter Estimation30m

Training Exercise S.10m

Solution Training Exercise S.110m

Training Exercise S.20m

Solution Training Exercise S.210m

4.5

started a new career after completing these courses

got a tangible career benefit from this course

got a pay increase or promotion

By JJ•Nov 16th 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.

By TM•Jun 9th 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.

Erasmus University: a top-100 ranked international research university based in Rotterdam, the Netherlands. Our academic teaching and research focuses on four areas: health, wealth, culture and governance.
Erasmus University Rotterdam: make it happen. ...

When will I have access to the lectures and assignments?

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

What will I get if I pay for this course?

If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.

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