Using R for Introductory Econometrics - Brossura

Heiss, Florian

Brossura

ISBN 13: 9798648424364

Casa editrice: Independently published, 2020

Riassunto

• 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://urfie.net
• Also check out Using Python for Introductory Econometrics: http://upfie.net/

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

Dettagli dell'edizione

• Editore: Independently published
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 13: 9798648424364
• Rilegatura: Copertina flessibile
• Numero di pagine: 378
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile