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Introduction to R for Quantitative Economics
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211 b
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This book gives an introduction to R to build up graphing, simulating and computing skills so that the reader sees theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free and very flexible and extensible. This book addresses the specific needs of economists and helps them through the learning curve. It covers some mathematical topics--for example, 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 also available in different R packages. With some fundamental treatment of basic econometrics, it discusses quantitative economics more broadly and simply by looking at models in the light of data. Students of economics at different levels or economists keen to learn how to use R would find this book very useful.
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