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Econometrics by example

By: Material type: TextTextPublication details: Palgrave 2015 LondonEdition: 2ndDescription: xxx, 466 p. It includes appendices and indexISBN:
  • 9781137607348
Subject(s): DDC classification:
  • 330.015195 G9E2
Summary: The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. The book features: * a wide-ranging collection of examples, with data on mortgages, credit ratings, graduate school admission, fashion sales and more * a clear, concise, writing style that guides you from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics * coverage of modern topics such as instrumental variables and panel data * extensive use of Stata and EViews statistical packages with reproductions of their output * an appendix discussing the basic concepts of statistics.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad General Stacks Non-fiction 330.015195 G9E2 (Browse shelf(Opens below)) Available 200588
Total holds: 0

Part I: Basics of linear regression
Part II: Regression diagnostics
Part III: Topics in cross-section data
Part IV: Time series econometrics
Part V: Selected topics in econometrics.

The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. The book features: * a wide-ranging collection of examples, with data on mortgages, credit ratings, graduate school admission, fashion sales and more * a clear, concise, writing style that guides you from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics * coverage of modern topics such as instrumental variables and panel data * extensive use of Stata and EViews statistical packages with reproductions of their output * an appendix discussing the basic concepts of statistics.

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