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

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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