An Introduction to R for Quantitative Economics

Graphing, Simulating and Computing

  • Vikram Dayal

Part of the SpringerBriefs in Economics book series (BRIEFSECONOMICS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Vikram Dayal
    Pages 1-6
  3. Vikram Dayal
    Pages 7-14
  4. Vikram Dayal
    Pages 15-18
  5. Vikram Dayal
    Pages 19-25
  6. Vikram Dayal
    Pages 27-38
  7. Vikram Dayal
    Pages 39-43
  8. Vikram Dayal
    Pages 45-50
  9. Vikram Dayal
    Pages 51-58
  10. Vikram Dayal
    Pages 59-63
  11. Vikram Dayal
    Pages 75-83
  12. Vikram Dayal
    Pages 85-92
  13. Vikram Dayal
    Pages 93-100
  14. Vikram Dayal
    Pages 101-109

About this book


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.


Applied Econometrics Quantitative Economics R Software Simulation Visualizing Data

Authors and affiliations

  • Vikram Dayal
    • 1
  1. 1.Institute of Economic Growth (IEG)DelhiIndia

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, New Delhi
  • eBook Packages Business and Economics
  • Print ISBN 978-81-322-2339-9
  • Online ISBN 978-81-322-2340-5
  • Series Print ISSN 2191-5504
  • Series Online ISSN 2191-5512
  • Buy this book on publisher's site