Regression Basics (2nd Revised edition)
By: Leo H. Kahane (author)Paperback
1 - 2 weeks availability
The Second Edition has been expanded to include recent developments in regression as well as coverage of estimation with multiple cross-sections of data across time (panel data). More end-of-chapter problems based on the examples that are woven through the book, along with screenshots to further aid readers working with Microsoft(R) Excel(R) and SPSS have also been included.
Leo Kahane is a Professor of Economics at California State University, East Bay. He earned his B.A. degree in Economics from the University of California, Berkeley and his Ph.D. in Economics from Columbia University. He has authored numerous book chapters and published articles in economics journals. He is also the founder and editor of the Journal of Sports Economics. He and his wife Cathy live in Oakland, California with their two sons, Jacob and Matthew Zoe.
Preface 1. An Introduction to the Linear Regression Model 2. The Least-Squares Estimation Method: Fitting Lines to Data 3. Model Performance And Evaluation 4. Multiple Regression Analysis 5. Non-Linear and Logarithmic Models, Dummy and Interaction 6. Time Variables and Panel Data: A Simple Introduction 7. Some Common Problems In Regression Analysis 8. Where To Go From Here Appendix A: Data Sets Used In Examples Appendix B: Instructions for Using Excel and SPSS Appendix C: t Table Appendix D: Answers To Problems Glossary References
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- ID: 9781412951265
2nd Revised edition
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