Download Coursera – Econometrics: Methods and Applications 2023-3

Description

Econometrics: Methods and Applications is published by Coursera Academy. Do you want to know how to analyze and solve business and economic questions with data analysis tools? Wes Econometrics by Erasmus University Rotterdam is the right course for you as you learn how to translate data into models for forecasting and decision support. When you know econometrics, you can turn data into models for predictions and decision support in a variety of fields, from macroeconomics to finance and marketing. Our course begins with introductory lectures on simple and multiple regression, followed by topics such as addressing model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching videos, with in-video quizzes, and by doing training exercises after the video.

You can follow the MOOC without reading additional resources. Further study of the topics discussed (including the basics) is provided in the textbook we wrote and on which the MOOC is based: Econometric Methods with Applications to Business and Economics, Oxford University Press. The links between MOOC modules and book chapters are shown in the course guide. Each topic is illustrated with simple examples. At the end of each lecture, you will find a practical exercise. Three lectures on matrices will introduce you to the basic terms and properties of matrices, including permutation, trace, rank, inverse, and positive definiteness. Two lectures on probability will teach you the basics of univariate and multivariate probability distributions, especially the normal and correlated distributions, including the mean, variance, and covariance. Finally, two lectures on statistics will introduce you to the basic ideas of statistical inference, especially parameter estimation and testing, including the use of matrix methods and probability methods.

What you will learn

• Linear regression
• time series
• Econometrics
• Regression analysis

Who is this course suitable for?

• This course is suitable for students (at Master’s level) in economics, finance, business, engineering and data analysis, as well as for those working in these fields.

Econometrics: Methods and Applications course specifications

• Publisher: Coursera
• teacher : Francine Gresnigt , Dennis Fok , Michel van der Wel , Erik Kole , Markus Müller , Christiaan Heij , Wendun Wang , Richard Pope , Dick van Dijk , Philip Hans Franses , Myrthe van Dieijen
• English language
• Education level: all levels
• Number of courses: 8
• Training duration: about 66 hours to complete

Chapters of the Econometrics: Methods and Applications course

WEEK 1

Welcome Module

Simple Regression

WEEK 2

Multiple Regression

WEEK 3

Model Specification

WEEK 4

Endogeneity

WEEK 5

Binary Choice

WEEK 6

Time series

WEEK 7

Case Project

WEEK 8

OPTIONAL: Building Blocks

Course prerequisites

• The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.

Pictures

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 279 MB

File(s) password: www.downloadly.ir

Size

1.27 GB