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Book chapter
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Reference no. BEP1306
Chapter from: "Regression for Economics"
Published by: Business Expert Press
Originally published in: 2012
Length: 35 pages

Abstract

This chapter is excerpted from ‘Regression for Economics'. The concept of regression was introduced by Sir Francis Galton, but R A Fisher provided the statistical theory and application for it for the first time. The 20th century witnessed the spread of regression analysis into every scientific branch. Regression analysis is the most commonly used statistical method in the world. It is used in economics and many other fields. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation of the regression analysis. All the examples are from economics, and in almost all the examples the real data is used to show the applications of the method. This book seeks to demystify regression analysis. The concepts related to regression analysis are explained in a way that is comprehensible to those whose mathematical skills are not expert. There is logic to regression analysis that resembles the intrinsic logic that we apply in comprehending the various events that fill our lives, which are probabilistic rather than deterministic in nature. What hinders peoples' comprehension of regression analysis is the difficulty many have in understanding mathematical symbols and derivations. By removing this obstacle, this book enables the logical reader to learn regression without possessing superior mathematical skills. Although this proposed book will be largely nonmathematical in its approach, it will not in any way give short shrift to the subject of regression. This book is targeted to all business students and executives who need to understand the concept of regression for practical and professional purposes. The regression analysis can be used to establish causal relationship between factors and the response variable. However, in order to be able to do it, the economic theory must be used to provide causal relationship and apply the regression analysis to verify the validity of the theory.

About

Abstract

This chapter is excerpted from ‘Regression for Economics'. The concept of regression was introduced by Sir Francis Galton, but R A Fisher provided the statistical theory and application for it for the first time. The 20th century witnessed the spread of regression analysis into every scientific branch. Regression analysis is the most commonly used statistical method in the world. It is used in economics and many other fields. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation of the regression analysis. All the examples are from economics, and in almost all the examples the real data is used to show the applications of the method. This book seeks to demystify regression analysis. The concepts related to regression analysis are explained in a way that is comprehensible to those whose mathematical skills are not expert. There is logic to regression analysis that resembles the intrinsic logic that we apply in comprehending the various events that fill our lives, which are probabilistic rather than deterministic in nature. What hinders peoples' comprehension of regression analysis is the difficulty many have in understanding mathematical symbols and derivations. By removing this obstacle, this book enables the logical reader to learn regression without possessing superior mathematical skills. Although this proposed book will be largely nonmathematical in its approach, it will not in any way give short shrift to the subject of regression. This book is targeted to all business students and executives who need to understand the concept of regression for practical and professional purposes. The regression analysis can be used to establish causal relationship between factors and the response variable. However, in order to be able to do it, the economic theory must be used to provide causal relationship and apply the regression analysis to verify the validity of the theory.

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