Description

Book Synopsis

This is the perfect (and essential) supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master''s, to a PhD course.

  • Explains what is going on in textbooks full of proofs and formulas
  • Offers intuition, skepticism, insights, humor, and practical advice (dos and don'ts)
  • Contains new chapters that cover instrumental variables and computational considerations
  • Includes additional information on GMM, nonparametrics, and an introduction to wavelets


Trade Review
“The exceptional success of this work is due to its clarity and economy of expression and the accessibility of the subject matter to a broad range of scholars. Now in its sixth edition, this guide brings practitioners and researchers up to date on the popular techniques in estimation. It holds a unique position among econometric texts. Highly recommended.” (Choice, November 2008)

Table of Contents

Preface x

Dedication xii

1. Introduction 1

2. Criteria for Estimators 11

3. The Classical Linear Regression Model 40

4. Interval Estimation and Hypothesis Testing 51

5. Specification 71

6. Violating Assumption One: Wrong Regressors, Nonlinearities, and Parameter Inconstancy 93

7. Violating Assumption Two: Nonzero Expected Disturbance 109

8. Violating Assumption Three: Nonspherical Disturbances 112

9. Violating Assumption Four: Instrumental Variable Estimation 137

10. Violating Assumption Four: Measurement Errors and Autoregression 157

11. Violating Assumption Four: Simultaneous Equations 171

12. Violating Assumption Five: Multicollinearity 192

13. Incorporating Extraneous Information 203

14. The Bayesian Approach 213

15. Dummy Variables 232

16. Qualitative Dependent Variables 241

17. Limited Dependent Variables 262

18. Panel Data 281

19. Time Series Econometrics 296

20. Forecasting 331

21. Robust Estimation 345

22. Applied Econometrics 361

23. Computational Considerations 385

Appendix A: Sampling Distributions, the Foundation of Statistics 403

Appendix B: All about Variance 407

Appendix C: A Primer on Asymptotics 412

Appendix D: Exercises 417

Appendix E: Answers to Even-numbered Questions 479

Glossary 503

Bibliography 511

Name Index 563

Subject Index 573

A Guide to Econometrics

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    A Paperback / softback by Peter Kennedy

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      View other formats and editions of A Guide to Econometrics by Peter Kennedy

      Publisher: John Wiley and Sons Ltd
      Publication Date: 28/04/2008
      ISBN13: 9781405182577, 978-1405182577
      ISBN10: 1405182571

      Description

      Book Synopsis

      This is the perfect (and essential) supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master''s, to a PhD course.

      • Explains what is going on in textbooks full of proofs and formulas
      • Offers intuition, skepticism, insights, humor, and practical advice (dos and don'ts)
      • Contains new chapters that cover instrumental variables and computational considerations
      • Includes additional information on GMM, nonparametrics, and an introduction to wavelets


      Trade Review
      “The exceptional success of this work is due to its clarity and economy of expression and the accessibility of the subject matter to a broad range of scholars. Now in its sixth edition, this guide brings practitioners and researchers up to date on the popular techniques in estimation. It holds a unique position among econometric texts. Highly recommended.” (Choice, November 2008)

      Table of Contents

      Preface x

      Dedication xii

      1. Introduction 1

      2. Criteria for Estimators 11

      3. The Classical Linear Regression Model 40

      4. Interval Estimation and Hypothesis Testing 51

      5. Specification 71

      6. Violating Assumption One: Wrong Regressors, Nonlinearities, and Parameter Inconstancy 93

      7. Violating Assumption Two: Nonzero Expected Disturbance 109

      8. Violating Assumption Three: Nonspherical Disturbances 112

      9. Violating Assumption Four: Instrumental Variable Estimation 137

      10. Violating Assumption Four: Measurement Errors and Autoregression 157

      11. Violating Assumption Four: Simultaneous Equations 171

      12. Violating Assumption Five: Multicollinearity 192

      13. Incorporating Extraneous Information 203

      14. The Bayesian Approach 213

      15. Dummy Variables 232

      16. Qualitative Dependent Variables 241

      17. Limited Dependent Variables 262

      18. Panel Data 281

      19. Time Series Econometrics 296

      20. Forecasting 331

      21. Robust Estimation 345

      22. Applied Econometrics 361

      23. Computational Considerations 385

      Appendix A: Sampling Distributions, the Foundation of Statistics 403

      Appendix B: All about Variance 407

      Appendix C: A Primer on Asymptotics 412

      Appendix D: Exercises 417

      Appendix E: Answers to Even-numbered Questions 479

      Glossary 503

      Bibliography 511

      Name Index 563

      Subject Index 573

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