Real Stats Using Econometrics for Political Science and Public Policy Scanned 1st Edition by Michael Bailey ISBN 978-0199981946 0199981949

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Product details: 

ISBN 10: 0199981949

ISBN 13:  978-0199981946

Author: Michael A. Bailey 
Real Stats offers an engaging and practical introduction to statistical analysis for upper-level undergraduates and first-year graduate students in political science, public policy, and law. Grounded in contemporary understandings of causal inferences, the text invites students to see how econometric 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.

Table of contents: 

I. FOUNDATIONS
Chapter 1: The Quest for Causality
Chapter 2: Stats in the Wild: Good Data Practices

II. THE OLS FRAMEWORK
Chapter 3: Bivariate OLS: The Foundation of Statistical Analysis
Chapter 4: Hypothesis Testing and Interval Estimation: Answering Research Questions
Chapter 5: Multivariate OLS: Where the Action Is
Chapter 6: Dummy Variables: Smarter Than You Think
Chapter 7: Transforming Variables, Comparing Variables

III. THE CONTEMPORARY STATISTICAL TOOLKIT
Chapter 8: Using Fixed Effects Models to Fight Endogeneity in Panel Data and Difference-in-Difference Models
Chapter 9: Instrumental Variables: Using Exogenous Variation to Fight Endogeneity
Chapter 10: Experiments: Dealing with Real-World Challenges
Chapter 11: Regression Discontinuity: Looking for Jumps in Data

IV. LIMITED DEPENDENT VARIABLES
Chapter 12: Dummy Dependent Variables

V. ADVANCED MATERIAL
Chapter 13: Time Series: Dealing with Stickiness over Time
Chapter 14: Advanced OLS
Chapter 15: Advanced Panel Data

VI. CONCLUSION
Chapter 16: How to Be a Statistical Realist

APPENDICES: Math and Probability Background
A. Summation

B. Expectation

C. Variance

D. Covariance

E. Correlation

F. Probability Density Functions

G. Normal Distributions

H. Other Useful Distributions

I. Sampling

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