Welcome to Introductory Econometrics using Quandl and R.
Econometrics applies mathematical and statistical tools to reveal measurable relationships in real world data. Though the ability to find relationships in quantitative data is useful in many professions and academic disciplines, knowledge and experience with econometric processes is limited to those with a college or university background in the subject. However, this does not need to be the case. Modern statistical software has become more powerful, but also much easier to use. In this tutorial, we introduce one of the most useful econometric tools: linear regression. Using detailed examples and clear explanations, we will begin our tutorial with the basic concepts of regression analysis and end with the more complex multiple regression model.
This tutorial has three aims:
introduce or refresh readers to the basics of regression and statistical analysis,
provide an easy-to-follow guide on using R to perform and interpret your own regressions, and
demonstrate the power of Quandl to find and analyze numerical data on the web.
You may begin begin by clicking on any of the following links:
Part 1 - Introductory Econometrics using Quandl and R
Part 2 - What is “Regression” and Why Use It?
Part 3 - The Linear Regression Model
Part 4 - Regression in R
Part 5 - Further Examples
Part 6 - Introducing Extra Variables: Multiple Regression
Part 7 - Some Final Notes