About this Course
최근 조회 57,495

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 30시간 필요

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

영어

자막: 영어

귀하가 습득할 기술

Linear RegressionTime SeriesEconometricsRegression Analysis

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 30시간 필요

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

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 29분 필요

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 videos (Total 9 min), 2 readings
2개의 동영상
About this course5m
2개의 읽기 자료
Course Guide - Structure of the MOOC10m
Course Guide - Further information10m
완료하는 데 8시간 필요

Simple Regression

...
5 videos (Total 39 min), 11 readings, 1 quiz
5개의 동영상
Lecture 1.2 on Simple Regression: Representation7m
Lecture 1.3 on Simple Regression: Estimation7m
Lecture 1.4 on Simple Regression: Evaluation8m
Lecture 1.5 on Simple Regression: Application6m
11개의 읽기 자료
Dataset Simple Regression10m
Training Exercise 1.1
Solution Training Exercise 1.110m
Training Exercise 1.2
Solution Training Exercise 1.210m
Training Exercise 1.3
Solution Training Exercise 1.310m
Training Exercise 1.4
Solution Training Exercise 1.410m
Training Exercise 1.5
Solution Training Exercise 1.510m
2
완료하는 데 9시간 필요

Multiple Regression

...
6 videos (Total 45 min), 13 readings, 1 quiz
6개의 동영상
Lecture 2.2 on Multiple Regression: Representation9m
Lecture 2.3 on Multiple Regression: Estimation8m
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
13개의 읽기 자료
Dataset Multiple Regression10m
Training Exercise 2.1
Solution Training Exercise 2.110m
Training Exercise 2.2
Solution Training Exercise 2.210m
Training Exercise 2.3
Solution Training Exercise 2.310m
Training Exercise 2.4.1
Solution Training Exercise 2.4.110m
Training Exercise 2.4.2
Solution Training Exercise 2.4.210m
Training Exercise 2.5
Solution Training Exercise 2.510m
3
완료하는 데 8시간 필요

Model Specification

...
5 videos (Total 41 min), 11 readings, 1 quiz
5개의 동영상
Lecture 3.2 on Model Specification: Specification9m
Lecture 3.3 on Model Specification: Transformation8m
Lecture 3.4 on Model Specification: Evaluation8m
Lecture 3.5 on Model Specification: Application9m
11개의 읽기 자료
Dataset Model Specification10m
Training Exercise 3.1
Solution Training Exercise 3.110m
Training Exercise 3.2
Solution Training Exercise 3.210m
Training Exercise 3.3
Solution Training Exercise 3.310m
Training Exercise 3.4
Solution Training Exercise 3.410m
Training Exercise 3.5
Solution Training Exercise 3.510m
4
완료하는 데 8시간 필요

Endogeneity

...
5 videos (Total 44 min), 11 readings, 1 quiz
5개의 동영상
Lecture 4.2 on Endogeneity: Consequences8m
Lecture 4.3 on Endogeneity: Estimation8m
Lecture 4.4 on Endogeneity: Testing7m
Lecture 4.5 on Endogeneity: Application9m
11개의 읽기 자료
Dataset Endogeneity10m
Training Exercise 4.1
Solution Training Exercise 4.110m
Training Exercise 4.2
Solution Training Exercise 4.210m
Training Exercise 4.3
Solution Training Exercise 4.310m
Training Exercise 4.4
Solution Training Exercise 4.410m
Training Exercise 4.5
Solution Training Exercise 4.510m
4.6
149개의 리뷰Chevron Right

29%

이 강좌를 수료한 후 새로운 경력 시작하기

27%

이 강좌를 통해 확실한 경력상 이점 얻기

17%

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최상위 리뷰

대학: 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.

대학: 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.

강사

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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

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자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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