Handbook of Causal Analysis for Social Research

Editors:

ISBN: 978-94-007-6093-6 (Print) 978-94-007-6094-3 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xi

  2. No Access

    Chapter

    Pages 1-5

    Introduction

  3. Background and Approaches to Analysis

    1. Front Matter

      Pages 7-7

    2. No Access

      Chapter

      Pages 9-26

      A History of Causal Analysis in the Social Sciences

    3. No Access

      Chapter

      Pages 27-41

      Types of Causes

  4. Design and Modeling Choices

    1. Front Matter

      Pages 43-43

    2. No Access

      Chapter

      Pages 45-73

      Research Design: Toward a Realistic Role for Causal Analysis

    3. No Access

      Chapter

      Pages 75-90

      Causal Models and Counterfactuals

    4. No Access

      Chapter

      Pages 91-110

      Mixed Methods and Causal Analysis

  5. Beyond Conventional Regression Models

    1. Front Matter

      Pages 111-111

    2. No Access

      Chapter

      Pages 113-132

      Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis

    3. No Access

      Chapter

      Pages 133-152

      Heteroscedastic Regression Models for the Systematic Analysis of Residual Variances

    4. No Access

      Chapter

      Pages 153-166

      Group Differences in Generalized Linear Models

    5. No Access

      Chapter

      Pages 167-187

      Counterfactual Causal Analysis and Nonlinear Probability Models

    6. No Access

      Chapter

      Pages 189-213

      Causal Effect Heterogeneity

    7. No Access

      Chapter

      Pages 215-242

      New Perspectives on Causal Mediation Analysis

  6. Systems of Causal Relationships

    1. Front Matter

      Pages 243-243

    2. No Access

      Chapter

      Pages 245-273

      Graphical Causal Models

    3. No Access

      Chapter

      Pages 275-299

      The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs)

    4. No Access

      Chapter

      Pages 301-328

      Eight Myths About Causality and Structural Equation Models

  7. Influence and Interference

    1. Front Matter

      Pages 329-329

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      Chapter

      Pages 331-352

      Heterogeneous Agents, Social Interactions, and Causal Inference

    3. No Access

      Chapter

      Pages 353-374

      Social Networks and Causal Inference

  8. Retreat from Effect Identification

    1. Front Matter

      Pages 375-375

    2. No Access

      Chapter

      Pages 377-402

      Partial Identification and Sensitivity Analysis

    3. No Access

      Chapter

      Pages 403-424

      What You Can Learn from Wrong Causal Models