(eBook PDF) Real Econometrics: The Right Tools to Answer Important Questions 2nd Edition

(eBook PDF) Real Econometrics: The Right Tools to Answer Important Questions 2nd Edition – Digital Ebook – Instant Delivery Download

product details:

• ISBN-10 ‏ : ‎ 0190857463
• ISBN-13 ‏ : ‎ 978-0190857462
• Author:  Michael Bailey 

An engaging and practical introduction to econometrics, Real Econometrics: The Right Tools to Answer Important Questions, offers thorough coverage of the most frequently used methods of analysis. Grounded in contemporary understandings of causal inference, the text invites students to extract meaningful information about important economic policy issues from available data. Bailey’s emphasis on practical applications, combined with a lively and conversational narrative and a diverse array of examples and case studies, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers. The second edition includes new conceptual exercises, revised appendices, and additional code and guidance for R software.

table of contents:

• • • 10. Experiments: Dealing with Real-World Challenges
      16. Conclusion: How to Be an Econometric Realist
      • Preface for Students
      • Preface for Instructors
      • Acknowledgements
      • 1. The Quest for Causality
      • 2. Stats in the Wild: Good Data Practices

      PART I: THE OLS FRAMEWORK

      • 3. Bivariate OLS: The Foundation of Econometric Analysis
      • 4. Hypothesis Testing and Interval Estimation: Answering Research Questions
      • 5. Multivariate OLS: Where the Action Is
      • 6. Dummy Variables: Smarter Than You Think
      • 7. Specifying Models

      PART II: THE CONTEMPORARY ECONOMETRIC TOOLKIT

      • 8. Using Fixed Effects to Fight Endogeneity in Panel Data and Difference-in-Difference Models
      • 9. Instrumental Variables: Using Exogenous Variation to Fight Endogeneity
    • 11. Regression Discontinuity: Looking for Jumps in Data

    PART III: LIMITED DEPENDENT VARIABLES

    • 12. Dummy Dependent Variables

    PART IV: ADVANCED MATERIAL

    • 13. Time Series: Dealing with Stickiness over Time
    • 14. Advanced OLS
    • 15. Advanced Panel Data
  • APPENDICES
  • Math and Probability Background
  • Citations and Additional Notes
  • Guide to Review Questions
  • Bibliography
  • Photo Credits
  • Glossary
  • Index

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