Understanding Regression Analysis: An Introductory Guide

Understanding Regression Analysis: An Introductory Guide

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Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, Paula E. Stephan

Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.

Product Details

ISBN-13: 9781506332888
Publisher: SAGE Publications
Publication date: 11/24/2016
Series: Quantitative Applications in the Social Sciences Series , #57
Edition description: Second Edition
Pages: 120
Sales rank: 954,155
Product dimensions: 5.40(w) x 8.30(h) x 0.50(d)

About the Author

Dr. Larry Schroeder, Professor of Public Administration Maxwell Professor of Teaching Excellence, and Senior Research Associate in the Moynihan Institute of Global Affairs at the Maxwell School, Syracuse University is a public finance economist with primary interest in state and local public finance and financial management. He has conducted research on a variety of state and local government fiscal issues both in the U.S. and abroad. Much of his current research is directed at public finance issues arising in developing and transition economies. He is

particularly interested in problems associated with financing the construction and maintenance of public infrastructure in these environments as well as the broader issues of decentralization, intergovernmental fiscal relations, and the effects of institutional arrangements on the provision of public services. He is the co-author of several books and has written a large number of articles addressing these subjects.

Professor Schroeder has consulted with and led policy research projects sponsored by the United States Agency for International Development, the World Bank, and the United Nations Capital Development Fund in numerous countries, especially in South and Southeast Asia, but also in Africa and Eastern Europe. In 1998-99 he was a Visiting Professor at Universiti Sains Malaysia in Penang Malaysia and was a Visiting Research Fellow at the National College of Public Administration and Governance at the University of the Philippines (Diliman Campus) in Quezon City, Philippines in 2005-06.

Professor Schroeder earned his Ph.D. in Economics from the University of Wisconsin in 1971. During the early 1970s he was on the economics faculty at Georgia State University. In 1977 he joined the Departments of Public Administration and Economics at the Maxwell School, Syracuse University and served here until 1994 when he was a Professor of Public and Environmental Affairs at Indiana University. He rejoined The Maxwell School faculty in 1998.

Dr. Sjoquist is a specialist in the field of public finance, particularly state and local public finance, and has an extensive research interests in urban economics, especially local economic development and central city poverty, and education policy.

Stephan's research interests focus on the careers of scientists and engineers and the process by which knowledge moves across institutional boundaries in the economy. Stephan currently serves on the National Research Council Board on Higher Education and Workforce. She served on the National Advisory General Medical Sciences Council, National Institutes of Health, 2005-2009 and served on the Advisory Committee of the Social, Behavioral, and Economics Program, National Science Foundation, 2001-2008. She was a member of the European Commission High-Level Expert Group that authored the report "Frontier Research: The European Challenge." She has served on a number of National Research Council committees including the committee on Dimensions, Causes, and Implications of Recent Trends in the Careers of Life Scientists, Committee on Methods of Forecasting Demand and Supply of Doctoral Scientists and Engineers, and the Committee on Policy Implications of International Graduate Students and Postdoctoral Scholars in the United States. Her research has been supported by the Alfred P. Sloan Foundation, the Andrew W. Mellow Foundation, and the National Science Foundation. Dr. Stephan graduated from Grinnell College (Phi Beta Kappa) with a B.A. in Economics and earned both her M.A. and Ph.D. in Economics from the University of Michigan. She has been a visiting scholar at Katholeike Universiteit Leuven, Belgium, spring 2005, a Wertheim Fellow, Harvard University, February 2007, and an ICER fellow, Turin, Italy, fall 2009, spring 2011, and fall 2011. She has also been a visiting scholar at the Department of Economics, Cognetti de Martiis, University of Torino, spring 2011 and fall 2011.

Stephan is a research associate, National Bureau of Economic Research.

Stephan has published numerous articles in journals such as The American Economic Review, Science, The Journal of Economic Literature, Economic Inquiry, The International Economic Review and Social Studies of Science. She co-wrote, with Sharon Levin, Striking the Mother Lode in Science (Oxford University Press, 1992).

Table of Contents

Series Editor’s Introduction
About the Authors
1. Linear Regression
Hypothesized Relationships
A Numerical Example
Estimating a Linear Relationship
Least Squares Regression
The Linear Correlation Coefficient
The Coefficient of Determination
Regression and Correlation
2. Multiple Linear Regression
Estimating Regression Coefficients
Standardized Coefficients
Associated Statistics
3. Hypothesis Testing
Concepts Underlying Hypothesis Testing
The Standard Error of the Regression Coefficient
The Student’s t Distribution
Left-Tail Tests
Two-Tail Tests
Confidence Intervals
F Statistic
What Tests of Significance Can and Cannot Do
4. Extensions to the Multiple Regression Model
Types of Data
Dummy Variables
Interaction Variables
5. Problems and Issues Associated With Regression
Specification of the Model
Variables Used in Regression Equations and Measurement of Variables
Violations of Assumptions Regarding Residual Errors
Additional Topics
Appendix A: Derivation of a and b
Appendix B: Critical Values for Student’s t Distribution
Appendix C: Regression Output From SAS, Stata, SPSS, R, and EXCEL
Appendix D: Suggested Textbooks

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