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

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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.

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Detail Information

Series Title

SpringerBriefs in Economics

Call Number

006.3 DAY i

Publisher

New Delhi : Springer New Delhi., 2015

Collation

XV, 109

Language

English

ISBN/ISSN

978-81-322-2340-5

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Artificial Intelligence
Statistics and Computing

Specific Detail Info

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Statement of Responsibility

Vikram Dayal

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-81-322-2340-5.pdf?pdf=button

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