Regression for Economics, Second Edition

Regression analysis can be used to establish causal relationships between factors and the response variable. However, in...
¥5,512 JPY
¥5,512 JPY
SKU: 9781631574436
Product Type: Books
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Author: Shahdad Naghshpour
Format: Paperback
Language: English
Subtotal: ¥5,512
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Regression for Economics, Second Edition by Naghshpour, Shahdad

Regression for Economics, Second Edition

¥5,512

Regression for Economics, Second Edition

¥5,512
Author: Shahdad Naghshpour
Format: Paperback
Language: English
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.

Author: Shahdad Naghshpour
Publisher: Business Expert Press
Published: 05/02/2016
Pages: 177
Binding Type: Paperback
Weight: 0.58lbs
Size: 9.00h x 6.00w x 0.40d
ISBN: 9781631574436

About the Author
Dr. Shahdad Naghshpour received his PhD from Oklahoma State University and his BA from Tehran University. Currently, he is teaching International Economics and Statistics at the University of Southern Mississippi. He received the Distinguished Professorship Award for 2008-09 in the category of Research. He has been a consultant to numerous state agencies, such as the Southern Mississippi Planning and Development District, as well as the Gulf Regional Planning Commission.

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