Michael A. Bailey
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.