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完成時間大約為30 小時

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

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您將獲得的技能

Linear RegressionTime SeriesEconometricsRegression Analysis

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

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完成時間大約為30 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 29 分鐘

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 個視頻 (總計 9 分鐘), 2 個閱讀材料
2 個閱讀材料
Course Guide - Structure of the MOOC10分鐘
Course Guide - Further information10分鐘
完成時間為 8 小時

Simple Regression

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5 個視頻 (總計 39 分鐘), 11 個閱讀材料, 1 個測驗
5 個視頻
Lecture 1.4 on Simple Regression: Evaluation8分鐘
Lecture 1.5 on Simple Regression: Application6分鐘
11 個閱讀材料
Dataset Simple Regression10分鐘
Training Exercise 1.11小時
Solution Training Exercise 1.110分鐘
Training Exercise 1.21小時
Solution Training Exercise 1.210分鐘
Training Exercise 1.31小時
Solution Training Exercise 1.310分鐘
Training Exercise 1.41小時
Solution Training Exercise 1.410分鐘
Training Exercise 1.51小時
Solution Training Exercise 1.510分鐘
2
完成時間為 9 小時

Multiple Regression

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6 個視頻 (總計 45 分鐘), 13 個閱讀材料, 1 個測驗
6 個視頻
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
13 個閱讀材料
Dataset Multiple Regression10分鐘
Training Exercise 2.11小時
Solution Training Exercise 2.110分鐘
Training Exercise 2.21小時
Solution Training Exercise 2.210分鐘
Training Exercise 2.31小時
Solution Training Exercise 2.310分鐘
Training Exercise 2.4.11小時
Solution Training Exercise 2.4.110分鐘
Training Exercise 2.4.21小時
Solution Training Exercise 2.4.210分鐘
Training Exercise 2.51小時
Solution Training Exercise 2.510分鐘
3
完成時間為 8 小時

Model Specification

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5 個視頻 (總計 41 分鐘), 11 個閱讀材料, 1 個測驗
5 個視頻
Lecture 3.4 on Model Specification: Evaluation8分鐘
Lecture 3.5 on Model Specification: Application9分鐘
11 個閱讀材料
Dataset Model Specification10分鐘
Training Exercise 3.11小時
Solution Training Exercise 3.110分鐘
Training Exercise 3.21小時
Solution Training Exercise 3.210分鐘
Training Exercise 3.31小時
Solution Training Exercise 3.310分鐘
Training Exercise 3.41小時
Solution Training Exercise 3.410分鐘
Training Exercise 3.51小時
Solution Training Exercise 3.510分鐘
4
完成時間為 8 小時

Endogeneity

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5 個視頻 (總計 44 分鐘), 11 個閱讀材料, 1 個測驗
5 個視頻
Lecture 4.4 on Endogeneity: Testing7分鐘
Lecture 4.5 on Endogeneity: Application9分鐘
11 個閱讀材料
Dataset Endogeneity10分鐘
Training Exercise 4.11小時
Solution Training Exercise 4.110分鐘
Training Exercise 4.21小時
Solution Training Exercise 4.210分鐘
Training Exercise 4.31小時
Solution Training Exercise 4.310分鐘
Training Exercise 4.41小時
Solution Training Exercise 4.410分鐘
Training Exercise 4.51小時
Solution Training Exercise 4.510分鐘
4.6
151 個審閱Chevron Right

38%

完成這些課程後已開始新的職業生涯

33%

通過此課程獲得實實在在的工作福利

14%

加薪或升職

來自计量经济学:方法与应用的熱門評論

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

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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

關於 鹿特丹伊拉斯姆斯大学

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. ...

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