An Introduction to R for Quantitative Economics

An Introduction to R for Quantitative Economics 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, and using R to study the Solow growth model, in addition to statistical topics–from drawing statistical graphs to doing linear and logistic regression.

An Introduction to R for Quantitative Economics uses data that can be downloaded from the internet and is 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.

An Introduction to R for Quantitative Economics
An Introduction to R for Quantitative Economics

Table of contents

  1. Introduction
    • Vikram Dayal
    Pages 1-6
  2. R and RStudio
    • Vikram Dayal
    Pages 7-14
  3. Getting Data into R
    • Vikram Dayal
    Pages 15-18
  4. Supply and Demand
    • Vikram Dayal
    Pages 19-25
  5. Functions
    • Vikram Dayal
    Pages 27-38
  6. The Cobb-Douglas Function
    • Vikram Dayal
    Pages 39-43
  7. Matrices
    • Vikram Dayal
    Pages 45-50
  8. Statistical Simulation
    • Vikram Dayal
    Pages 51-58
  9. Anscombe’s Quartet: Graphs Can Reveal
    • Vikram Dayal
    Pages 59-63
  10. Carbon and Forests: Graphs and Regression
    • Vikram Dayal
    Pages 65-73
  11. Evaluating Training
    • Vikram Dayal
    Pages 75-83
  12. The Solow Growth Model
    • Vikram Dayal
    Pages 85-92
  13. Simulating Random Walks and Fishing Cycles
    • Vikram Dayal
    Pages 93-100
  14. Basic Time Series
    • Vikram Dayal
    Pages 101-109

ABOUT THE AUTHOR

Vikram Dayal is an Associate Professor at the Institute of Economic Growth, Delhi. He is the author of the book titled The Environment in Economics and Development: Pluralist Extensions of Core Economic Models, published in the SpringerBriefs in Economics series in 2014. In 2009 he co-edited the Oxford Handbook of Environmental Economics in India with Professor Kanchan Chopra. He has been incorporating the use of software in teaching quantitative economics his open access notes on Simulating to understand mathematics for economics with Excel and R are downloadable at HTTP(colon)(double backslash)textbook revolution(dot)org. His research on a range of environmental and developmental issues from outdoor and indoor air pollution in Goa, India to tigers and Prosopis juliflora in Ranthambhore National Park has been published in a variety of journals. He visited the Workshop in Political Theory and Policy Analysis in Bloomington, Indiana as a SANDEE (South Asian Network for Development and Environmental Economics) Partha Dasgupta Fellow in 2011. He studied economics in India and the USA and did his doctoral degree at the University of Delhi.

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