An Introduction to R for Quantitative Economics - Graphing, Simulating and Computing (Paperback, 2015 ed.)

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.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	SpringerBriefs in Economics
Release date:	March 2015
First published:	2015
Authors:	Vikram Dayal
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	109
Edition:	2015 ed.
ISBN-13:	978-81-322-2339-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > General
LSN:	81-322-2339-X
Barcode:	9788132223399

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