Acerca de este Curso
4.5
658 ratings
138 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...
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Clock

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

Aprox. 30 horas para completar
Comment Dots

English

Subtítulos: English

Habilidades que obtendrás

Linear RegressionTime SeriesEconometricsRegression Analysis
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Clock

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

Aprox. 30 horas para completar
Comment Dots

English

Subtítulos: English

Programa - Qué aprenderás en este curso

1

Sección
Clock
1 hora para completar

Welcome Module

...
Reading
2 videos (Total: 9 min), 2 readings
Video2 videos
About this course5m
Reading2 lecturas
Course Guide - Structure of the MOOC11m
Course Guide - Further information10m
Clock
8 horas para completar

Simple Regression

...
Reading
5 videos (Total: 39 min), 11 readings, 1 quiz
Video5 videos
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
Reading11 lecturas
Dataset Simple Regression1m
Training Exercise 1.1m
Solution Training Exercise 1.110m
Training Exercise 1.2m
Solution Training Exercise 1.210m
Training Exercise 1.3m
Solution Training Exercise 1.310m
Training Exercise 1.4m
Solution Training Exercise 1.410m
Training Exercise 1.5m
Solution Training Exercise 1.510m

2

Sección
Clock
8 horas para completar

Multiple Regression

...
Reading
6 videos (Total: 45 min), 13 readings, 1 quiz
Video6 videos
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
Reading13 lecturas
Dataset Multiple Regression1m
Training Exercise 2.130m
Solution Training Exercise 2.110m
Training Exercise 2.2m
Solution Training Exercise 2.210m
Training Exercise 2.3m
Solution Training Exercise 2.310m
Training Exercise 2.4.1m
Solution Training Exercise 2.4.110m
Training Exercise 2.4.230m
Solution Training Exercise 2.4.210m
Training Exercise 2.5m
Solution Training Exercise 2.510m

3

Sección
Clock
8 horas para completar

Model Specification

...
Reading
5 videos (Total: 41 min), 11 readings, 1 quiz
Video5 videos
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
Reading11 lecturas
Dataset Model Specification1m
Training Exercise 3.1m
Solution Training Exercise 3.110m
Training Exercise 3.2m
Solution Training Exercise 3.210m
Training Exercise 3.3m
Solution Training Exercise 3.310m
Training Exercise 3.4m
Solution Training Exercise 3.410m
Training Exercise 3.5m
Solution Training Exercise 3.510m

4

Sección
Clock
8 horas para completar

Endogeneity

...
Reading
5 videos (Total: 44 min), 11 readings, 1 quiz
Video5 videos
Lecture 4.2 on Endogeneity: Consequences8m
Lecture 4.3 on Endogeneity: Estimation8m
Lecture 4.4 on Endogeneity: Testing7m
Lecture 4.5 on Endogeneity: Application9m
Reading11 lecturas
Dataset Endogeneity1m
Training Exercise 4.1m
Solution Training Exercise 4.110m
Training Exercise 4.2m
Solution Training Exercise 4.210m
Training Exercise 4.3m
Solution Training Exercise 4.310m
Training Exercise 4.4m
Solution Training Exercise 4.410m
Training Exercise 4.5m
Solution Training Exercise 4.510m
4.5
Direction Signs

33%

comenzó una nueva carrera después de completar estos cursos
Briefcase

83%

consiguió un beneficio tangible en su carrera profesional gracias a este curso
Money

25%

consiguió un aumento de sueldo o ascenso

Principales revisiones

por 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.

por 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.

Instructores

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

Acerca de 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. ...

Preguntas Frecuentes

  • 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.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.