Book contents
- Ethics in Econometrics
- Ethics in Econometrics
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Recommended Reading
- Introduction
- 1 Ethical Guidelines
- 2 Scientific Misconduct
- 3 Influential Observations
- 4 Model Selection
- 5 Estimation and Interpretation
- 6 Missing Data
- 7 Spurious Relations
- 8 Blinded by the Data
- 9 Predictability
- 10 Adjustment of Forecasts
- 11 Big Data
- 12 Algorithms
- Conclusion
- Index
Introduction
Published online by Cambridge University Press: 14 November 2024
Book contents
- Ethics in Econometrics
- Ethics in Econometrics
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Recommended Reading
- Introduction
- 1 Ethical Guidelines
- 2 Scientific Misconduct
- 3 Influential Observations
- 4 Model Selection
- 5 Estimation and Interpretation
- 6 Missing Data
- 7 Spurious Relations
- 8 Blinded by the Data
- 9 Predictability
- 10 Adjustment of Forecasts
- 11 Big Data
- 12 Algorithms
- Conclusion
- Index
Summary
Econometricians develop and use methods and techniques to model economic behavior, create forecasts, to do policy evaluation, and to develop scenarios. Often, this ends up in advice. This advice can relate to a prediction for the future or for another sector or country, it can be a judgment on whether a policy measure was successful or not, or suggest a possible range of futures. Econometricians (must) make choices that can often only be understood by fellow econometricians. A key claim in this book is that it is important to be clear on those choices. This introductory chapter briefly describes the contents of all following chapters.
- Type
- Chapter
- Information
- Ethics in EconometricsA Guide to Research Practice, pp. 1 - 10Publisher: Cambridge University PressPrint publication year: 2024