Название: Using R for Introductory Econometrics, Second Edition Автор: Heiss Florian
Издательство: Independently published
Год: 2020
Страниц: 379
Язык: английский
Формат: pdf
Размер: 41.4 MB
This book introduces the popular, powerful and free programming language and software package R with a focus on the implementation of standard tools and methods used in econometrics. R is a powerful programming language that is especially well-suited for statistical analyses and the creation of graphics. In many areas of applied statistics, R is the most widely used software package. In other areas, such as econometrics, it is quickly catching up to commercial software packages. R is constantly adjusted and extended by a large user community so that many state-of-the-art econometric methods are available very quickly. R is powerful and versatile for the advanced user and is also quite easy for a beginner to learn and use.
The software package R is completely free and available for most operating systems. When using it in econometrics courses, students can easily download a copy to their own computers and use it at home (or their favorite cafes) to replicate examples and work on take-home assignments. This hands-on experience is essential for the understanding of the econometric models and methods. It also prepares students to conduct their own empirical analyses for their theses, research projects, and professional work.
The first chapter provides a gentle introduction to R, covers some of the topics of basic statistics and probability presented in the appendix of Wooldridge, and introduces Monte Carlo simulation as an additional tool. Assuming the reader has worked through the material discussed there, this book explains and demonstrates how to implement everything in R and replicates many textbook examples. We also open some black boxes of the built-in functions for estimation and inference by directly applying the formulas known from the textbook to reproduce the results. Some supplementary analyses provide additional intuition and insights.
The book is designed mainly for students of introductory econometrics who ideally use Wooldridge as their main textbook. It can also be useful for readers who are familiar with econometrics and possibly other software packages. For them, it offers an introduction to R and can be used to look up the implementation of standard econometric methods.
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