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Econometrics: Methods and Applications

Erasmus University Rotterdam via Coursera

5 Reviews 429 students interested
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 8 weeks long
  • Learn more about MOOCs

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Overview

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

Syllabus

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


Simple Regression

Multiple Regression

Model Specification

Endogeneity

Binary Choice

Time Series

Case Project
-This Case Project is the final assignment of our MOOC. It is of an applied nature, and it asks you to answer practical questions by means of econometric methods. By doing the case, you will integrate various econometric methods and skills that were trained in our MOOC.

OPTIONAL: Building Blocks
-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.

Taught by

Dick van Dijk , Myrthe van Dieijen, Christiaan Heij, Michel van der Wel, Philip Hans Franses, Richard Paap, Dennis Fok, Erik Kole and Francine Gresnigt

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Reviews for Coursera's Econometrics: Methods and Applications
3.8 Based on 5 reviews

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  • 1
Cedric H
3.0 3 years ago
by Cedric is taking this course right now.
By studying this course I was hoping to learn about models and test them instead we are doing lousy math "as shown on the slide" and proving basic linear algebra properties... Not really what I was aiming for. The structure is good though as you can expect on Coursera, I will stay for one more week or so to see if it gets better (only going through week 2 right now) .
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Zoltan S
3.0 4 years ago
Zoltan completed this course and found the course difficulty to be very hard.
The course is very good, but in my opinion too focused on theoretical demostrations above practical examples. Suitable for advanced practitioners.
4 people found
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Alejandro V
5.0 4 years ago
by Alejandro is taking this course right now.
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Luciano V
3.0 4 years ago
by Luciano completed this course.
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John W
5.0 4 years ago
John completed this course.
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