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

Cover
SpringerBriefs in Economics

An Introduction to R for Quantitative Economics

Copyright
     © The Author(s) 2015
     ISSN 2191-5504
     ISSN 2191-5512 (electronic)
     ISBN 978-81-322-2339-9
     ISBN 978-81-322-2340-5 (eBook)
     DOI 10.1007/978-81-322-2340-5
     Library of Congress Control Number: 2015933817

Dedicated For Ma and Papa

Acknowledgments

Contents

About the Author

About the Book

1 Introduction
     1.1 Three Key Skills
     1.2 How to Use the Book
     1.3 Help
     1.4 R Code and Output
     1.5 An Overview of Typical R Code
     1.6 Exploring Further
     References

2 R and RStudio
     2.1 R and RStudio
     2.2 Working Directory: Projects
     2.3 Script
     2.4 Different Objects in R
          2.4.1 Vectors
          2.4.2 Matrices
          2.4.3 Data Frames
          2.4.4 Lists
     2.5 Example: Net Present Value
     2.6 Exploring Further
     References

3 Getting Data into R
     3.1 Introduction
     3.2 Chhatre and Agrawal (2009) Data
     3.3 Graddy K (2006) Data
     3.4 Crude Oil Price Data
     3.5 Exploring Further
     References

4 Supply and Demand
     4.1 Introduction
     4.2 Supply and Demand in General
     4.3 The Mosaic Package
     4.4 Demand
     4.5 Supply and Demand
     4.6 Equilibrium
     4.7 Fish Data
     4.8 Crude Oil Price Data
     4.9 Exploring Further
     References

5 Functions
     5.1 Introduction
     5.2 Change, Derivative and Elasticity
     5.3 Loading the Mosaic Package
     5.4 Linear Function
     5.5 Log-Log Function
     5.6 Functions with Data
     5.7 Exploring Further
     References

6 The Cobb-Douglas Function
     6.1 Introduction
     6.2 Cobb-Douglas Production Function
     6.3 Exploring Further
     References

7 Matrices
     7.1 Introduction
     7.2 Simple Statistics with Matrices
     7.3 Simple Matrix Operations with R
     7.4 Regression
     7.5 Exploring Further
     References

8 Statistical Simulation
     8.1 Introduction
     8.2 Probability Distributions
          8.2.1 Normal Distribution
          8.2.2 Uniform Distribution
          8.2.3 Binomial Distribution
     8.3 Central Limit Theorem
     8.4 The t-Test
     8.5 Logit Regression
     8.6 Exploring Further
     References

9 Anscombe\'s Quartet: Graphs Can Reveal
     9.1 Introduction
     9.2 The Data: 4 Sets of xs and ys
     9.3 Same Regressions of ys on xs
     9.4 Very Different Scatter Plots
     9.5 Exploring Further
     Reference

10 Carbon and Forests: Graphs and Regression
     10.1 Introduction
     10.2 Graphs
     10.3 Multiple Regression
     10.4 Exploring Further
     References

11 Evaluating Training
     11.1 Introduction
     11.2 Lalonde Dataset
     11.3 Matching Treatment and Control
     11.4 Comparing Treatment and Control
     11.5 Exploring Further
     References

12 The Solow Growth Model
     12.1 Introduction
     12.2 The Solow Model
     12.3 Growth Time Series
     12.4 Distribution Over Time
     12.5 Exploring Further
     References

13 Simulating Random Walks and Fishing Cycles
     13.1 Introduction
     13.2 Difference Equations
     13.3 Stochastic Elements
     13.4 Random Walk
     13.5 Fishing
     13.6 Exploring Further
     References

14 Basic Time Series
     14.1 Introduction
     14.2 Air Passengers
     14.3 The Phillips Curve
     14.4 Forecasting Inflation
     14.5 Volatility in the Stock Market
     14.6 Exploring Further
     References