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Synopsis
Regression analysis can be used to establish causal relationships between factors and the response variable. However, in order to be able to do so, economic theory must be used to provide the causal relationship and then regression analysis is applied to verify the validity of the theory. Regression analysis is the most commonly used analytical tool and can be understood without complex mathematics. This book simplifies and demystifies regression analysis. All the examples are from economics and in almost all the cases, real data is used to show the application of the method. By limiting the use of mathematical symbols, the author enables a logical reader to learn regression, without shortchanging the subject. The book is targeted to all business students and executives who need to understand the concept of regression for practical and professional purposes.
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About the Author
Shahdad Naghshpour is a professor of international development doctoral program at the University of Southern Mississippi. He has published in journals such as Peace Economics, Journal of Economics and Finance, Review of Regional Studies, International Journal of Trade and Global Markets, International Journal of Monetary Economics and Finance, Politics and Policy, among others. He has authored eight books as well. Dr. Naghshpour has revived several awards for research and teaching as well as numerous grants such as the 2016 Graduate Mentor of the Year. 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.
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Regression for Economics, Second Edition
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Regression for Economics
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Regression for Economics
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Paperback. Condition: New. Second Edition. There are several powerful statistical analysis software, such as Stata, SAS, and a host of other packages with different levels of elegance, completeness, and support. Preferred is Stata because of its extensive contributions from its users and reliable technical support. I will add Stata commands to perform all the examples of the book. The commands are simple and quick to run. I will provide an appendix with the list of the commands used in the manuscript, their syntax, and a brief description of the output they create.Updated data for all the examples using the most recent available data. Provide the solutions in Excel and Stata and explain the meanings of the output to reinforce the subject and allow users to have another set of examples using another real-life data. Increased graphical representations to reinforce and clarify the concept. Seller Inventory # LU-9781631574436
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Regression for Economics, Second Edition
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