An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing

✍ Scribed by Vikram Dayal (auth.)

Publisher: Springer India
Year: 2015
Tongue: English
Leaves: 117
Series: SpringerBriefs in Economics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.

✦ Table of Contents

Front Matter....Pages i-xv
Introduction....Pages 1-6
R and RStudio....Pages 7-14
Getting Data into R....Pages 15-18
Supply and Demand....Pages 19-25
Functions....Pages 27-38
The Cobb-Douglas Function....Pages 39-43
Matrices....Pages 45-50
Statistical Simulation....Pages 51-58
Anscombe’s Quartet: Graphs Can Reveal....Pages 59-63
Carbon and Forests: Graphs and Regression....Pages 65-73
Evaluating Training....Pages 75-83
The Solow Growth Model....Pages 85-92
Simulating Random Walks and Fishing Cycles....Pages 93-100
Basic Time Series....Pages 101-109

✦ Subjects

Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance; Simulation and Modeling; Statistics and Computing/Statistics Programs; Computing Methodologies

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