We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more

Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $159.99

Format:
Paperback
648 pp.
7.5" x 9.25"

ISBN-13:
9780190859497

Copyright Year:
2021

Imprint: OUP US


Real Stats

Using Econometrics for Political Science and Public Policy, Second Edition

Michael A. Bailey

Real Stats: Using Econometrics for Political Science and Public Policy offers an engaging and practical introduction to statistical analysis for introduction to statistical analysis for political science, public policy, and law. Grounded in contemporary causal inference, the text invites students to see how statistical tools can help answer important and interesting questions. This emphasis on practical applications, combined with a lively and conversational narrative, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers.

Readership : Graduate students or upper level undergraduates in political science, public policy, or law learning about research methods.

Reviews

  • "Real Stats is very well written and does a superb job in making the material accessible to undergraduates with no prior exposure to statistics, while at the same time explaining concepts in a detailed manner using basic math and equations."
    --Besir Ceka, Davidson College

  • "Bailey's conversational writing style and frequent use of real-world applications make Real Stats a surprisingly easy and engaging read."
    --T.J. McCarthy, University of Southern California

  • "Real Stats is amazingly accessible to students with limited fluency in math and statistics, while also replete with cutting-edge methodological techniques. It makes learning statistics exciting and immediately relevant to real-world problems in politics and public policy."
    --Paasha Mahdavi, University of California, Santa Barbara

  • "The book is at once amazingly accessible to students with limited fluency in math and statistics, while also replete with cutting-edge methodological techniques driven by the causal inference revolution in data analytics. Bailey's text notably avoids the use of long-winded and esoteric terminology-lamentably all too common in introductory statistics textbooks-and makes learning statistics exciting and immediately relevant to real-world problems in politics and public policy."
    --Paasha Mahdavi, Georgetown University

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
10. Experiments: Dealing with Real-World Challenges
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
16. Conclusion: How to Be an Econometric Realist
APPENDICES
Math and Probability Background
Citations and Additional Notes
Guide to Review Questions
Bibliography
Photo Credits
Glossary
Index

There are no Instructor/Student Resources available at this time.

Michael A. Bailey is the Colonel William J. Walsh Professor of American Government in the Department of Government and McCourt School of Public Policy at Georgetown University. He directs Georgetown's Massive Data Institute and the McCourt School's Data Science for Public Policy Program. He is the author of several books, including Real Econometrics: The Right Tools to Answer Important Questions, Second Edition (OUP, 2019).

Making Sense in the Social Sciences - Margot Northey, Lorne Tepperman and Patrizia Albanese
Financial Econometric Modeling - Stan Hurn, Vance L. Martin, Jun Yu and Peter C.B. Phillips
Public Policy - Michael Mintrom
Writing Public Policy - Catherine F. Smith

Special Features
New to this Edition

  • Addition of the concept of "specification" to the first edition's list fundamental challenges in statistics for the social sciences, while retaining coverage of "inference" and "identification".
  • New resources that will help students actively engage with the material.