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Introductory econometrics : intuition, proof, and practice / Jeffrey S. Zax.

By: Material type: TextTextPublication details: Stanford, Calif. : Stanford Economics and Finance, ©2011.Description: 1 online resource (xxvii, 644 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780804777209
  • 0804777209
Subject(s): Genre/Form: Additional physical formats: Print version:: Introductory econometrics.DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139 .Z39 2011eb
Online resources:
Contents:
Brief Contents; Contents; List of Tables and Figures; Preface; 1. What Is a Regression?; 2. The Essential Tool; 3. Covariance and Correlation; 4. Fitting a Line; 5. From Sample to Population; 6. Confidence Intervals and Hypothesis Tests; 7. Inference in Ordinary Least Squares; 8. What If the Disturbances Have Nonzero Expectations or Different Variances?; 9. What If the Disturbances Are Correlated?; 10. What If the Disturbances and the Explanatory Variables Are Related?; 11. What If There Is More Than One x?; 12. Understanding and Interpreting Regression with Two x's.
Summary: Introductory Econometrics: Intuition, Proof, and Practice attempts to distill econometrics into a form that preserves its essence, but that is acceptable--and even appealing--to the student's intellectual palate. This book insists on rigor when it is essential, but it emphasizes intuition and seizes upon entertainment wherever possible. Introductory Econometrics is motivated by three beliefs. First, students are, perhaps despite themselves, interested in questions that only econometrics can answer. Second, through these answers, they can come to understand, appreciate, and even enjoy the enterpr.
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Includes bibliographical references (pages 637-638) and index.

Brief Contents; Contents; List of Tables and Figures; Preface; 1. What Is a Regression?; 2. The Essential Tool; 3. Covariance and Correlation; 4. Fitting a Line; 5. From Sample to Population; 6. Confidence Intervals and Hypothesis Tests; 7. Inference in Ordinary Least Squares; 8. What If the Disturbances Have Nonzero Expectations or Different Variances?; 9. What If the Disturbances Are Correlated?; 10. What If the Disturbances and the Explanatory Variables Are Related?; 11. What If There Is More Than One x?; 12. Understanding and Interpreting Regression with Two x's.

Introductory Econometrics: Intuition, Proof, and Practice attempts to distill econometrics into a form that preserves its essence, but that is acceptable--and even appealing--to the student's intellectual palate. This book insists on rigor when it is essential, but it emphasizes intuition and seizes upon entertainment wherever possible. Introductory Econometrics is motivated by three beliefs. First, students are, perhaps despite themselves, interested in questions that only econometrics can answer. Second, through these answers, they can come to understand, appreciate, and even enjoy the enterpr.

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