Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies - Softcover
Synopsis
Introduces first-year social science undergraduates to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach.
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About the Authors
M. C. Baddeley is Director of Studies (Economics), Fellow and College Lecturer at Gonville and Caius College, University of Cambridge. She is the author of Investment: Theories and Analysis (2003).
D. V. Barrowclough works with the United Nations Conference for Trade and Development (UNCTAD), advising governments on direct foreign investment and economic development, particularly focusing on services. She also lectures at the University of Geneva.
"About this title" may belong to another edition of this title.
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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Cambridge University Press 28/05/2009, 2009
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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ISBN 13: 9780521603089
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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ISBN 10: 0521603080
ISBN 13: 9780521603089
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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ISBN 10: 0521603080
ISBN 13: 9780521603089
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Running Regressions : A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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Running Regressions
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ISBN 13: 9780521603089
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Paperback. Condition: New. Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work. Seller Inventory # LU-9780521603089
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Running Regressions (Paperback)
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Cambridge University Press, Cambridge, 2009
ISBN 10: 0521603080
ISBN 13: 9780521603089
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Paperback. Condition: new. Paperback. Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work. Introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521603089
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Running Regressions : A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
Published by
Cambridge University Press, 2009
ISBN 10: 0521603080
ISBN 13: 9780521603089
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
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ISBN 10: 0521603080
ISBN 13: 9780521603089
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Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies
Published by
Cambridge University Press, 2009
ISBN 10: 0521603080
ISBN 13: 9780521603089
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