Using R for Introductory Econometrics – Paperback-Fast Shipping

Description

by
Florian Heiss (Author)

• Introduces the popular, powerful and free programming language and software package
  R
• Focus implementation of standard tools and methods used in
  econometrics
• Compatible with
  “Introductory Econometrics” by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
• Companion
  website with full text, all code for download and other goodies: http: //
• Also check out Using Python for Introductory Econometrics http: ///

Praise

• “A very nice resource for those wanting to use R in their introductory econometrics courses.” (
  Jeffrey M. Wooldridge)
• Using R for Introductory Econometrics is a fabulous modern resource. I know I’m going to be using it with my students, and I recommend it to anyone who wants to learn about econometrics and R at the same time.” (
  David E. Giles in his blog “Econometrics Beat”)

Topics:

• 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

Number of Pages: 380Dimensions: 0.78 x 10 x 7.99 INPublication Date: May 24, 2020