About this Course
4.6
676 ratings
140 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 31 hours to complete

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

English

Subtitles: English

Skills you will gain

Linear RegressionTime SeriesEconometricsRegression Analysis
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 31 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
29 minutes to complete

Welcome Module

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 Block module. Will there be teaching assistants active to guide me through the course? We advise you to connect with fellow learners of this course to discuss topics and exercises. Staff of our Econometric Institute provides guidance in January and February of each year. In 2016, the guidance period will start at Monday January 4 and end at Friday February 26. 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 your average grade score is at least 50%. Have a nice journey into the world of Econometrics! The Econometrics team ...
Reading
2 videos (Total 9 min), 2 readings
Video2 videos
About this course5m
Reading2 readings
Course Guide - Structure of the MOOC10m
Course Guide - Further information10m
Hours to complete
8 hours to complete

Simple Regression

...
Reading
5 videos (Total 39 min), 11 readings, 1 quiz
Video5 videos
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
Reading11 readings
Dataset Simple Regression10m
Training Exercise 1.1m
Solution Training Exercise 1.110m
Training Exercise 1.2m
Solution Training Exercise 1.210m
Training Exercise 1.3m
Solution Training Exercise 1.310m
Training Exercise 1.4m
Solution Training Exercise 1.410m
Training Exercise 1.5m
Solution Training Exercise 1.510m
Week
2
Hours to complete
9 hours to complete

Multiple Regression

...
Reading
6 videos (Total 45 min), 13 readings, 1 quiz
Video6 videos
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
Reading13 readings
Dataset Multiple Regression10m
Training Exercise 2.1m
Solution Training Exercise 2.110m
Training Exercise 2.2m
Solution Training Exercise 2.210m
Training Exercise 2.3m
Solution Training Exercise 2.310m
Training Exercise 2.4.1m
Solution Training Exercise 2.4.110m
Training Exercise 2.4.2m
Solution Training Exercise 2.4.210m
Training Exercise 2.5m
Solution Training Exercise 2.510m
Week
3
Hours to complete
8 hours to complete

Model Specification

...
Reading
5 videos (Total 41 min), 11 readings, 1 quiz
Video5 videos
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
Reading11 readings
Dataset Model Specification10m
Training Exercise 3.1m
Solution Training Exercise 3.110m
Training Exercise 3.2m
Solution Training Exercise 3.210m
Training Exercise 3.3m
Solution Training Exercise 3.310m
Training Exercise 3.4m
Solution Training Exercise 3.410m
Training Exercise 3.5m
Solution Training Exercise 3.510m
Week
4
Hours to complete
8 hours to complete

Endogeneity

...
Reading
5 videos (Total 44 min), 11 readings, 1 quiz
Video5 videos
Lecture 4.2 on Endogeneity: Consequences8m
Lecture 4.3 on Endogeneity: Estimation8m
Lecture 4.4 on Endogeneity: Testing7m
Lecture 4.5 on Endogeneity: Application9m
Reading11 readings
Dataset Endogeneity10m
Training Exercise 4.1m
Solution Training Exercise 4.110m
Training Exercise 4.2m
Solution Training Exercise 4.210m
Training Exercise 4.3m
Solution Training Exercise 4.310m
Training Exercise 4.4m
Solution Training Exercise 4.410m
Training Exercise 4.5m
Solution Training Exercise 4.510m
4.6
140 ReviewsChevron Right
Career direction

33%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

25%

got a pay increase or promotion

Top Reviews

By JJNov 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 TMJun 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.

Instructors

Avatar

Philip Hans Franses

Prof. Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Christiaan Heij

Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Michel van der Wel

Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Dennis Fok

Prof. Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Richard Paap

Prof. Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Dick van Dijk

Prof. Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Erik Kole

Dr.
Econometric Institute, Erasmus School of Economics
Avatar

Francine Gresnigt

PhD candidate
Econometric Institute, Erasmus School of Economics
Avatar

Myrthe van Dieijen

PhD candidate
Econometric Institute, Erasmus School of Economics

About Erasmus University Rotterdam

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. ...

Frequently Asked Questions

  • 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.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.