Using R for Introductory Econometrics
Douban
Florian Heiss
Übersicht
配套网站：http://urfie.net/
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. Unlike other books on similar topics, it does not attempt to provide a self-contained discussion of econometric models and methods. Instead, it builds on the excellent and popular textbook "Introductory Econometrics" by Jeffrey M. Wooldridge.
contents
Topics include:
A gentle introduction to R
Simple and multiple regression in matrix form and using black box routines
Inference in small samples and asymptotics
Monte Carlo simulations
Heteroscedasticity
Time series regression
Pooled cross-sections and panel data
Instrumental variables and two-stage least squares
Simultaneous equation models
Limited dependent variables: binary, count data, censoring, truncation, and sample selection
Formatted reports and research papers combining R with R Markdown or LaTeX
The chapters have the same names and cover the same material as the respective chapters in Wooldridge’s textbook.