Об этом курсе
4.5
642 ratings
133 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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Предполагаемая нагрузка: 7 weeks of study, 4-8 hours/week

Прибл. 31 ч. на завершение
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Субтитры: English

Приобретаемые навыки

EconometricsRegression AnalysisLinear RegressionTime Series
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Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
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Предполагаемая нагрузка: 7 weeks of study, 4-8 hours/week

Прибл. 31 ч. на завершение
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English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
1 ч. на завершение

Welcome Module

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Reading
2 видео (всего 9 мин.), 2 материалов для самостоятельного изучения
Video2 видео
About this course5мин
Reading2 материала для самостоятельного изучения
Course Guide - Structure of the MOOC11мин
Course Guide - Further information10мин
Clock
8 ч. на завершение

Simple Regression

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Reading
5 видео (всего 39 мин.), 11 материалов для самостоятельного изучения, 1 тест
Video5 видео
Lecture 1.2 on Simple Regression: Representation7мин
Lecture 1.3 on Simple Regression: Estimation7мин
Lecture 1.4 on Simple Regression: Evaluation8мин
Lecture 1.5 on Simple Regression: Application6мин
Reading11 материала для самостоятельного изучения
Dataset Simple Regression1мин
Training Exercise 1.1мин
Solution Training Exercise 1.110мин
Training Exercise 1.2мин
Solution Training Exercise 1.210мин
Training Exercise 1.3мин
Solution Training Exercise 1.310мин
Training Exercise 1.4мин
Solution Training Exercise 1.410мин
Training Exercise 1.5мин
Solution Training Exercise 1.510мин

2

Раздел
Clock
8 ч. на завершение

Multiple Regression

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Reading
6 видео (всего 45 мин.), 13 материалов для самостоятельного изучения, 1 тест
Video6 видео
Lecture 2.2 on Multiple Regression: Representation9мин
Lecture 2.3 on Multiple Regression: Estimation8мин
Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties8мин
Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests5мин
Lecture 2.5 on Multiple Regression: Application9мин
Reading13 материала для самостоятельного изучения
Dataset Multiple Regression1мин
Training Exercise 2.130мин
Solution Training Exercise 2.110мин
Training Exercise 2.2мин
Solution Training Exercise 2.210мин
Training Exercise 2.3мин
Solution Training Exercise 2.310мин
Training Exercise 2.4.1мин
Solution Training Exercise 2.4.110мин
Training Exercise 2.4.230мин
Solution Training Exercise 2.4.210мин
Training Exercise 2.5мин
Solution Training Exercise 2.510мин

3

Раздел
Clock
8 ч. на завершение

Model Specification

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Reading
5 видео (всего 41 мин.), 11 материалов для самостоятельного изучения, 1 тест
Video5 видео
Lecture 3.2 on Model Specification: Specification9мин
Lecture 3.3 on Model Specification: Transformation8мин
Lecture 3.4 on Model Specification: Evaluation8мин
Lecture 3.5 on Model Specification: Application9мин
Reading11 материала для самостоятельного изучения
Dataset Model Specification1мин
Training Exercise 3.1мин
Solution Training Exercise 3.110мин
Training Exercise 3.2мин
Solution Training Exercise 3.210мин
Training Exercise 3.3мин
Solution Training Exercise 3.310мин
Training Exercise 3.4мин
Solution Training Exercise 3.410мин
Training Exercise 3.5мин
Solution Training Exercise 3.510мин

4

Раздел
Clock
8 ч. на завершение

Endogeneity

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Reading
5 видео (всего 44 мин.), 11 материалов для самостоятельного изучения, 1 тест
Video5 видео
Lecture 4.2 on Endogeneity: Consequences8мин
Lecture 4.3 on Endogeneity: Estimation8мин
Lecture 4.4 on Endogeneity: Testing7мин
Lecture 4.5 on Endogeneity: Application9мин
Reading11 материала для самостоятельного изучения
Dataset Endogeneity1мин
Training Exercise 4.1мин
Solution Training Exercise 4.110мин
Training Exercise 4.2мин
Solution Training Exercise 4.210мин
Training Exercise 4.3мин
Solution Training Exercise 4.310мин
Training Exercise 4.4мин
Solution Training Exercise 4.410мин
Training Exercise 4.5мин
Solution Training Exercise 4.510мин
4.5
Direction Signs

33%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу
Money

25%

стал больше зарабатывать или получил повышение

Лучшие рецензии

автор: 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.

автор: 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.

Преподавателя

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

О Erasmus University Rotterdam

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Часто задаваемые вопросы

  • 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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