An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing

An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing

by Vikram Dayal


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Product Details

ISBN-13: 9788132223399
Publisher: Springer India
Publication date: 03/19/2015
Series: SpringerBriefs in Economics
Edition description: 2015
Pages: 109
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

About the Author

Vikram Dayal is an Associate Professor at the Institute of Economic Growth, Delhi. He is the author of the book titledThe Environment in Economics and Development: Pluralist Extensions of Core Economic Models, publishedin the SpringerBriefs in Economics series in 2014.In 2009 he co-edited theOxford Handbook of Environmental Economics in Indiawith 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 back slash)textbookrevolution(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 from the University of Delhi.

Table of Contents

Chapter 1. Introduction.- Chapter 2. R and RStudio.- Chapter 3. Getting data into R.- Chapter 4. Supply and demand.- Chapter 5. Functions.- Chapter 6. The Cobb-Douglas Function.- Chapter 7. Matrices.- Chapter 8. Statistical simulation.- Chapter 9. Anscombe's quartet: graphs can reveal.- Chapter 10. Carbon and forests: graphs and regression.- Chapter 11. Evaluating training.- Chapter 12. The Solow growth model.- Chapter 13. Simulating random walks and shing cycles.- Chapter 14. Basic time series.

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