An Introduction to R for Quantitative Economics
Graphing, Simulating and Computing (SpringerBriefs in Economics)

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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.

AuthorVikram Dayal
Edition2015 ed.
Height925 mm
Length610 mm
Width31 mm
Language TypePublished
MPN70 black & white illustrations, 9 colour
Number Of Items1
Number Of Pages109
Part Number70 black & white illustrations, 9 colour
Product GroupBook
Publication Date2015-03-19
PublisherSpringer, India, Private Ltd
StudioSpringer, India, Private Ltd
Sales Rank612068

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