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Basic & Advanced Methods in Econometrics
Rating: 4.4 out of 5(73 ratings)
339 students
Created byGerminal Van
Last updated 4/2021
English

What you'll learn

  • Simple Linear Regression
  • Multiple Linear Regression
  • Durbin-Watson Test Statistic
  • Multivariate Regression
  • Polynomial Regression
  • Logistic Regression
  • Autoregressive Model
  • Vector Autoregressive Model

Course content

2 sections • 12 lectures • 2h 41m total length

  • Introduction to Econometrics11:19

    In this video, you will learn the definition and purpose of econometrics. This video will review the following methods we will be learning throughout the course.

  • Simple Linear Regression: Basic Concepts12:38

    This tutorial will teach you a basic understanding of the simple linear regression. It will address the various statistical properties (assumptions) that the model must fill in order to be valid.

  • Simple Linear Regression: Estimation of Parameters9:24

    This tutorial will teach how the parameters of a simple linear regression are calculated.

  • Simple Linear Regression: Outliers8:14

    This tutorial will teach you what an outlier is and how it could impact the outcome of a simple regression.

  • Multiple Linear Regression: Basic Concepts11:48

    In this tutorial, you will learn the basic foundations of the multiple linear regression. Like the tutorial on the simple linear regression, this tutorial will address the various statistical properties as well required for the model to be valid.

  • Multiple Linear Regression: Estimation of Parameters11:07

    This tutorial will teach you how to determine and calculate the various parameters of the multiple linear regression.

  • Autocorrelation: Durbin-Watson Test Statistic16:54

    This tutorial will teach you what is an autocorrelation, and how to determine it by using the Durbin-Watson test statistic.

Requirements

  • Basic knowledge of statistics

Description

This course is essentially designed for economics students. Econometrics is a mandatory course to be completed in every Economics curriculum at university. The core classes an economics student has to complete in order to graduate are Microeconomics, Macroeconomics, Mathematical Economics, and Econometrics. And Econometrics is known to be the most difficult of all.

Econometrics has the reputation of being a fearful discipline and many students have been intimidated by the subject. Econometrics is used everywhere and in almost every professional industry on a daily basis to make decisions. Businesses use it to decide how to promote a product and their brand, schools use it to determine their admission rate, the government uses it to predict voting patterns and outcomes, hospitals use it to predict the spread of diseases, Banks and hedge funds use it to determine the price of the stock market and the trend of financial markets...etc. Econometrics is part of our lives.

The primary goal of this course is to demystify the field of Econometrics. It is meant to facilitate the understanding of complex econometric subjects. This course is structured to provide the foundational knowledge required to do econometric analysis and statistical modeling. It teaches the basic and advanced methods of econometric modeling.

Who this course is for:

  • beginners in data science
  • students of economics
  • beginners in statistics
  • students of mathematics

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