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Causal inference : the mixtape / Scott Cunningham.

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An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists--who generally can't run controlled experiments to test and validate t...

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Bibliographic Details
Online Access: Full Text (via De Gruyter)
Main Author: Cunningham, Scott, 1975- (Author)
Format: eBook
Language:English
Published: New Haven ; London : Yale University Press, [2021]
Subjects:
Causation.
Inference.
Dependence (Statistics)
Social sciences > Methodology.
Social sciences > Data processing.
Table of Contents:
  • Frontmatter
  • Contents
  • Acknowledgments
  • Introduction
  • Introductory Note
  • What Is Causal Inference?
  • Do Not Confuse Correlation with Causality
  • OptimizationMakes Everything Endogenous
  • Example: Identifying Price Elasticity of Demand
  • Conclusion
  • Probability and Regression Review
  • Directed Acyclic Graphs
  • Introduction
  • Introduction to DAG Notation
  • Potential Outcomes Causal Model
  • Introduction
  • Physical Randomization
  • Randomization Inference
  • Conclusion
  • Matching and Subclassification
  • Subclassification
  • Exact Matching
  • Approximate Matching
  • Regression Discontinuity
  • Huge Popularity of Regression Discontinuity
  • Estimation Using an RDD
  • Challenges to Identification
  • Replicating a Popular Design: The Close Election
  • Regression Kink Design
  • Conclusion
  • Instrumental Variables
  • History of Instrumental Variables: Father and Son
  • Intuition of Instrumental Variables
  • Homogeneous Treatment Effects
  • Parental Methamphetamine Abuse and Foster Care
  • The Problem of Weak Instruments
  • Heterogeneous Treatment Effects
  • Applications
  • Popular IV Designs
  • Conclusion
  • Panel Data
  • DAG Example
  • Estimation
  • Data Exercise: Survey of Adult Service Providers
  • Conclusion
  • Difference-in-Differences
  • John Snow's Cholera Hypothesis
  • Estimation
  • Inference
  • Providing Evidence for Parallel Trends Through Event Studies and Parallel Leads
  • The Importance of Placebos in DD
  • Twoway Fixed Effects with Differential Timing
  • Conclusion
  • Synthetic Control
  • Introducing the Comparative Case Study
  • Prison Construction and Black Male Incarceration
  • Conclusion
  • Bibliography
  • Permissions
  • Index.

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