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Cover

Real Stats

Using Econometrics for Political Science and Public Policy

Second Edition

Author Michael A. Bailey

Publication Date - 28 December 2020

ISBN: 9780190859497

648 pages
Paperback
7 1/2 x 9 1/4 inches

In Stock

An engaging and practical introduction to applied statistics for students in political science, public policy, and law

Description

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.

New to this Edition

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

About the Author(s)

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).

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

Table of Contents

    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

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