课程信息
4.6
705 个评分
145 个审阅

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为31 小时

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

英语(English)

字幕:英语(English)

您将获得的技能

Linear RegressionTime SeriesEconometricsRegression Analysis

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为31 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 29 分钟

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 ...
2 个视频 (总计 9 分钟), 2 个阅读材料
2 个视频
About this course5分钟
2 个阅读材料
Course Guide - Structure of the MOOC10分钟
Course Guide - Further information10分钟
完成时间为 8 小时

Simple Regression

...
5 个视频 (总计 39 分钟), 11 个阅读材料, 1 个测验
5 个视频
Lecture 1.2 on Simple Regression: Representation7分钟
Lecture 1.3 on Simple Regression: Estimation7分钟
Lecture 1.4 on Simple Regression: Evaluation8分钟
Lecture 1.5 on Simple Regression: Application6分钟
11 个阅读材料
Dataset Simple Regression10分钟
Training Exercise 1.1
Solution Training Exercise 1.110分钟
Training Exercise 1.2
Solution Training Exercise 1.210分钟
Training Exercise 1.3
Solution Training Exercise 1.310分钟
Training Exercise 1.4
Solution Training Exercise 1.410分钟
Training Exercise 1.5
Solution Training Exercise 1.510分钟
2
完成时间为 9 小时

Multiple Regression

...
6 个视频 (总计 45 分钟), 13 个阅读材料, 1 个测验
6 个视频
Lecture 2.2 on Multiple Regression: Representation9分钟
Lecture 2.3 on Multiple Regression: Estimation8分钟
Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8分钟
Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5分钟
Lecture 2.5 on Multiple Regression: Application9分钟
13 个阅读材料
Dataset Multiple Regression10分钟
Training Exercise 2.1
Solution Training Exercise 2.110分钟
Training Exercise 2.2
Solution Training Exercise 2.210分钟
Training Exercise 2.3
Solution Training Exercise 2.310分钟
Training Exercise 2.4.1
Solution Training Exercise 2.4.110分钟
Training Exercise 2.4.2
Solution Training Exercise 2.4.210分钟
Training Exercise 2.5
Solution Training Exercise 2.510分钟
3
完成时间为 8 小时

Model Specification

...
5 个视频 (总计 41 分钟), 11 个阅读材料, 1 个测验
5 个视频
Lecture 3.2 on Model Specification: Specification9分钟
Lecture 3.3 on Model Specification: Transformation8分钟
Lecture 3.4 on Model Specification: Evaluation8分钟
Lecture 3.5 on Model Specification: Application9分钟
11 个阅读材料
Dataset Model Specification10分钟
Training Exercise 3.1
Solution Training Exercise 3.110分钟
Training Exercise 3.2
Solution Training Exercise 3.210分钟
Training Exercise 3.3
Solution Training Exercise 3.310分钟
Training Exercise 3.4
Solution Training Exercise 3.410分钟
Training Exercise 3.5
Solution Training Exercise 3.510分钟
4
完成时间为 8 小时

Endogeneity

...
5 个视频 (总计 44 分钟), 11 个阅读材料, 1 个测验
5 个视频
Lecture 4.2 on Endogeneity: Consequences8分钟
Lecture 4.3 on Endogeneity: Estimation8分钟
Lecture 4.4 on Endogeneity: Testing7分钟
Lecture 4.5 on Endogeneity: Application9分钟
11 个阅读材料
Dataset Endogeneity10分钟
Training Exercise 4.1
Solution Training Exercise 4.110分钟
Training Exercise 4.2
Solution Training Exercise 4.210分钟
Training Exercise 4.3
Solution Training Exercise 4.310分钟
Training Exercise 4.4
Solution Training Exercise 4.410分钟
Training Exercise 4.5
Solution Training Exercise 4.510分钟
4.6
145 个审阅Chevron Right

29%

完成这些课程后已开始新的职业生涯

30%

通过此课程获得实实在在的工作福利

20%

加薪或升职

热门审阅

创建者 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.

创建者 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.

讲师

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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

关于 鹿特丹伊拉斯姆斯大学

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