Über diesen Kurs
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Ca. 30 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

Kompetenzen, die Sie erwerben

Linear RegressionTime SeriesEconometricsRegression Analysis

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 30 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
29 Minuten zum Abschließen

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

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2 Videos (Gesamt 9 min), 2 Lektüren
2 Lektüren
Course Guide - Structure of the MOOC10m
Course Guide - Further information10m
8 Stunden zum Abschließen

Simple Regression

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5 Videos (Gesamt 39 min), 11 Lektüren, 1 Quiz
5 Videos
Lecture 1.4 on Simple Regression: Evaluation8m
Lecture 1.5 on Simple Regression: Application6m
11 Lektüren
Dataset Simple Regression10m
Training Exercise 1.11h
Solution Training Exercise 1.110m
Training Exercise 1.21h
Solution Training Exercise 1.210m
Training Exercise 1.31h
Solution Training Exercise 1.310m
Training Exercise 1.41h
Solution Training Exercise 1.410m
Training Exercise 1.51h
Solution Training Exercise 1.510m
Woche
2
9 Stunden zum Abschließen

Multiple Regression

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6 Videos (Gesamt 45 min), 13 Lektüren, 1 Quiz
6 Videos
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
13 Lektüren
Dataset Multiple Regression10m
Training Exercise 2.11h
Solution Training Exercise 2.110m
Training Exercise 2.21h
Solution Training Exercise 2.210m
Training Exercise 2.31h
Solution Training Exercise 2.310m
Training Exercise 2.4.11h
Solution Training Exercise 2.4.110m
Training Exercise 2.4.21h
Solution Training Exercise 2.4.210m
Training Exercise 2.51h
Solution Training Exercise 2.510m
Woche
3
8 Stunden zum Abschließen

Model Specification

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5 Videos (Gesamt 41 min), 11 Lektüren, 1 Quiz
5 Videos
Lecture 3.4 on Model Specification: Evaluation8m
Lecture 3.5 on Model Specification: Application9m
11 Lektüren
Dataset Model Specification10m
Training Exercise 3.11h
Solution Training Exercise 3.110m
Training Exercise 3.21h
Solution Training Exercise 3.210m
Training Exercise 3.31h
Solution Training Exercise 3.310m
Training Exercise 3.41h
Solution Training Exercise 3.410m
Training Exercise 3.51h
Solution Training Exercise 3.510m
Woche
4
8 Stunden zum Abschließen

Endogeneity

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5 Videos (Gesamt 44 min), 11 Lektüren, 1 Quiz
5 Videos
Lecture 4.4 on Endogeneity: Testing7m
Lecture 4.5 on Endogeneity: Application9m
11 Lektüren
Dataset Endogeneity10m
Training Exercise 4.11h
Solution Training Exercise 4.110m
Training Exercise 4.21h
Solution Training Exercise 4.210m
Training Exercise 4.31h
Solution Training Exercise 4.310m
Training Exercise 4.41h
Solution Training Exercise 4.410m
Training Exercise 4.51h
Solution Training Exercise 4.510m
4.6
151 BewertungenChevron Right

38%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

33%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

14%

erhalten Sie eine Gehaltserhöhung oder Beförderung

Top reviews from Econometrics: Methods and Applications

von 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.

von 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.

Dozenten

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Philip Hans Franses

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Christiaan Heij

Dr.
Econometric Institute, Erasmus School of Economics
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Michel van der Wel

Dr.
Econometric Institute, Erasmus School of Economics
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Dennis Fok

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Richard Paap

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Dick van Dijk

Prof. Dr.
Econometric Institute, Erasmus School of Economics
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Erik Kole

Dr.
Econometric Institute, Erasmus School of Economics
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Francine Gresnigt

PhD candidate
Econometric Institute, Erasmus School of Economics
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Myrthe van Dieijen

PhD candidate
Econometric Institute, Erasmus School of Economics

Über Erasmus University Rotterdam

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