Statistics for Economics, Second Edition
- 2h 40m
- Shahdad Naghshpour
- Business Expert Press
- 2016
Statistics is the branch of mathematics that deals with real life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept is introduced to students is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. However, as this book demonstrates, neither is necessary. The book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. The second edition also incorporates Stata software for use by more technically oriented readers who have access to sophisticated software. The objective of this book is to address the fundamentals of statistical analysis in a simple and easy-to-comprehend way. Instead of covering numerous topics, the book covers interrelated subjects that are necessary for the comprehension of the presented topics. The second edition has augmented the explanations in the first to clarify the subjects even more. The examples are based on economic theory utilizing actual data. The hope is that the use of theory will prove useful in relating the subject to actual empirical applications and help with research.
About the Author
Shahdad Naghshpour is a professor of International Development Doctoral Program at the University of Southern Mississippi. He has authored eight books and published in journals such as Peace Economics, Peace Science and Public Policy, Journal of Economics and Finance, as well as many others. Dr. Naghshpour has received several awards for research and teaching as well as numerous grants. He is a member of Montclair Who’s Who in Collegiate Faculty. Dr. Naghshpour is on the editorial boards of five peer-reviewed journals and currently is the vice president of the Academy of Economics and Finance. He has been a consultant to numerous state agencies and private companies.
In this Book
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Descriptive Statistics
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Numerical Descriptive Statistics for Quantitative Variables
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Some Applications of Descriptive Statistics
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Distribution Functions
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Sampling Distribution of Sample Statistics
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Point and Interval Estimation
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Statistical Inference with Test of Hypothesis
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An Introduction to Regression Analysis
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Conclusion
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Endnotes