課程信息
4.5
650 ratings
136 reviews
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...
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100% 在線課程

立即開始,按照自己的計劃學習。
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建議:7 weeks of study, 4-8 hours/week

完成時間大約為31 小時
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您將獲得的技能

Linear RegressionTime SeriesEconometricsRegression Analysis
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:7 weeks of study, 4-8 hours/week

完成時間大約為31 小時
Comment Dots

English

字幕:English

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 1 小時

Welcome Module

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Reading
2 個視頻(共 9 分鐘), 2 個閱讀材料
Video2 個視頻
About this course5分鐘
Reading2 個閱讀材料
Course Guide - Structure of the MOOC11分鐘
Course Guide - Further information10分鐘
Clock
完成時間為 8 小時

Simple Regression

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Reading
5 個視頻(共 39 分鐘), 11 個閱讀材料, 1 個測驗
Video5 個視頻
Lecture 1.2 on Simple Regression: Representation7分鐘
Lecture 1.3 on Simple Regression: Estimation7分鐘
Lecture 1.4 on Simple Regression: Evaluation8分鐘
Lecture 1.5 on Simple Regression: Application6分鐘
Reading11 個閱讀材料
Dataset Simple Regression1分鐘
Training Exercise 1.1分鐘
Solution Training Exercise 1.110分鐘
Training Exercise 1.2分鐘
Solution Training Exercise 1.210分鐘
Training Exercise 1.3分鐘
Solution Training Exercise 1.310分鐘
Training Exercise 1.4分鐘
Solution Training Exercise 1.410分鐘
Training Exercise 1.5分鐘
Solution Training Exercise 1.510分鐘

2

章節
Clock
完成時間為 8 小時

Multiple Regression

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Reading
6 個視頻(共 45 分鐘), 13 個閱讀材料, 1 個測驗
Video6 個視頻
Lecture 2.2 on Multiple Regression: Representation9分鐘
Lecture 2.3 on Multiple Regression: Estimation8分鐘
Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8分鐘
Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5分鐘
Lecture 2.5 on Multiple Regression: Application9分鐘
Reading13 個閱讀材料
Dataset Multiple Regression1分鐘
Training Exercise 2.130分鐘
Solution Training Exercise 2.110分鐘
Training Exercise 2.2分鐘
Solution Training Exercise 2.210分鐘
Training Exercise 2.3分鐘
Solution Training Exercise 2.310分鐘
Training Exercise 2.4.1分鐘
Solution Training Exercise 2.4.110分鐘
Training Exercise 2.4.230分鐘
Solution Training Exercise 2.4.210分鐘
Training Exercise 2.5分鐘
Solution Training Exercise 2.510分鐘

3

章節
Clock
完成時間為 8 小時

Model Specification

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Reading
5 個視頻(共 41 分鐘), 11 個閱讀材料, 1 個測驗
Video5 個視頻
Lecture 3.2 on Model Specification: Specification9分鐘
Lecture 3.3 on Model Specification: Transformation8分鐘
Lecture 3.4 on Model Specification: Evaluation8分鐘
Lecture 3.5 on Model Specification: Application9分鐘
Reading11 個閱讀材料
Dataset Model Specification1分鐘
Training Exercise 3.1分鐘
Solution Training Exercise 3.110分鐘
Training Exercise 3.2分鐘
Solution Training Exercise 3.210分鐘
Training Exercise 3.3分鐘
Solution Training Exercise 3.310分鐘
Training Exercise 3.4分鐘
Solution Training Exercise 3.410分鐘
Training Exercise 3.5分鐘
Solution Training Exercise 3.510分鐘

4

章節
Clock
完成時間為 8 小時

Endogeneity

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Reading
5 個視頻(共 44 分鐘), 11 個閱讀材料, 1 個測驗
Video5 個視頻
Lecture 4.2 on Endogeneity: Consequences8分鐘
Lecture 4.3 on Endogeneity: Estimation8分鐘
Lecture 4.4 on Endogeneity: Testing7分鐘
Lecture 4.5 on Endogeneity: Application9分鐘
Reading11 個閱讀材料
Dataset Endogeneity1分鐘
Training Exercise 4.1分鐘
Solution Training Exercise 4.110分鐘
Training Exercise 4.2分鐘
Solution Training Exercise 4.210分鐘
Training Exercise 4.3分鐘
Solution Training Exercise 4.310分鐘
Training Exercise 4.4分鐘
Solution Training Exercise 4.410分鐘
Training Exercise 4.5分鐘
Solution Training Exercise 4.510分鐘
4.5
Direction Signs

33%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利
Money

25%

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創建者 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.

創建者 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.

講師

Philip Hans Franses

Prof. Dr.
Econometric Institute, Erasmus School of Economics

Christiaan Heij

Dr.
Econometric Institute, Erasmus School of Economics

Michel van der Wel

Dr.
Econometric Institute, Erasmus School of Economics

Dennis Fok

Prof. Dr.
Econometric Institute, Erasmus School of Economics

Richard Paap

Prof. Dr.
Econometric Institute, Erasmus School of Economics

Dick van Dijk

Prof. Dr.
Econometric Institute, Erasmus School of Economics

Erik Kole

Dr.
Econometric Institute, Erasmus School of Economics

Francine Gresnigt

PhD candidate
Econometric Institute, Erasmus School of Economics

Myrthe van Dieijen

PhD candidate
Econometric Institute, Erasmus School of Economics

關於 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. ...

常見問題

  • 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.

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