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Using R for Introductory Econmetrics Compatible with Jeffrey M. Wooldridge Book!

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN
9781523285136
Book Title
Using R for Introductory Econometrics
Publisher
CreateSpace
Item Length
10 in
Publication Year
2016
Format
Trade Paperback
Language
English
Item Height
0.8 in
Author
Florian Heiss
Genre
Business & Economics
Topic
Econometrics
Item Weight
30.8 Oz
Item Width
8 in
Number of Pages
354 Pages

About this product

Product Identifiers

Publisher
CreateSpace
ISBN-10
1523285133
ISBN-13
9781523285136
eBay Product ID (ePID)
219934752

Product Key Features

Book Title
Using R for Introductory Econometrics
Number of Pages
354 Pages
Language
English
Publication Year
2016
Topic
Econometrics
Genre
Business & Economics
Author
Florian Heiss
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
30.8 Oz
Item Length
10 in
Item Width
8 in

Additional Product Features

Intended Audience
Trade
Synopsis
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 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, Note that the second edition is now available. It seems like a good idea to get that instead.. 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 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, 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 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

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